Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full behavioral burden. It implies a read-only 'Find' operation and specifies the Acorn parser, but does not disclose output shape, traversal behavior, failure modes, or how filters are applied. Too sparse for a tool with no safety annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that states the core purpose without filler or redundancy. Every word contributes to understanding the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description omits return format and important behavioral caveats (e.g., whether code is parsed statically, how matches are represented, maxResult behavior). Given no output schema and no annotations, this brevity leaves too much unsaid for a 4-parameter tool in a complex analysis domain.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description adds meaning for two key parameters: 'Acorn node type' clarifies nodeType, and 'optional property filters' clarifies filter. Code and maxResults remain inferred from their names, which is acceptable, but not all parameters are explicitly explained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Find'), names the resource ('AST nodes'), and specifies the matching criteria ('Acorn node type and optional property filters'). This clearly differentiates from transformation tools like ast_transform_preview, though it doesn't explicitly name alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided about when to use this tool versus sibling analysis tools like analysis_data_flow or ast_transform_preview. It lacks any explicit or implicit usage context, leaving the agent to infer applicability.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of disclosing behavior. It reveals that the analysis is intra-file and bounded, but does not explain what 'bounded' means (e.g., limits on code size, iteration depth) or what 'shallow taint-path' entails. There is no mention of read-only behavior, performance implications, or output format.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence with no superfluous words, front-loading the verb and core output. Every term adds technical specificity, but the density of jargon makes it less readable than ideal. Still, it is concise and well-structured for an expert audience.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a data-flow analysis tool with no output schema and no annotations, the description is too sparse. It does not explain the return value, the nature of source/assignment/sink, or constraints like 'bounded' and 'shallow.' The agent would likely need to invoke the tool blindly to understand its behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has one parameter 'code' with no description, and the tool description does not mention it. Since schema coverage is 0%, the description should compensate, but it adds no meaning to the parameter. The parameter name 'code' is self-explanatory, so a score of 2 reflects the lack of explicit semantic enrichment.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'produce' and identifies the resource as a 'bounded intra-file source, assignment, sink, and shallow taint-path projection.' This conveys a focused data-flow analysis action and distinguishes it from sibling tools like analysis_ast_match or understand_code. However, the heavy jargon and vague terms 'bounded' and 'shallow' prevent a perfect score.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives such as analysis_security_scan or js_deobfuscate_pipeline. The intended use is only implied by the name and the term 'data flow.' No explicit exclusions or alternative recommendations are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It mentions the limitation 'statically resolvable' and implies a code transformation, but it does not disclose whether the input is mutated, what the output format is (modified code vs. diff), side effects, or error cases. This is insufficient for a transformation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no filler or repetition. Every word carries meaning, and it is appropriately terse for a simple tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the simple schema (one parameter) but no output schema, the description is incomplete: it does not state what the tool returns, how the input is interpreted, or any prerequisites. An agent would struggle to invoke it effectively without additional context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for explaining the 'code' parameter. It does not mention that the parameter should be JavaScript source code, how it is processed, or any format expectations. While the parameter name 'code' is somewhat self-evident, the description adds no semantic value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific transformation ('Replace statically resolvable literal array member accesses with their literal values') with a concrete verb and resource, distinguishing it from broader deobfuscation or analysis tools. It lacks a mention of 'string arrays' or JavaScript, but the core purpose is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives, nor any exclusions. The description implies usage for static analysis but does not specify contexts, prerequisites, or why one would choose it over similar tools like js_deobfuscate_pipeline or analysis_data_flow.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full responsibility. 'Conservatively' and the proof condition give some insight, but it fails to disclose what happens when the static order cannot be proven, whether the input is mutated or a new value returned, and what the output format is. This is a significant gap for a transformation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that leads with the action and includes a necessary condition. Every word is meaningful, with no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex deobfuscation tool with no output schema or annotations. The description omits the return value, error behavior, and how the result should be used, making it difficult for an agent to understand the full invocation lifecycle.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema describes 'code' only as a string, but the description adds meaning by implying it should contain a while(true)+switch dispatcher to restore. This partially compensates for 0% schema coverage, though it does not specify the expected scope of the code or return behavior.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action ('restore') and a specific resource ('canonical while(true)+switch dispatcher'), with an explicit condition ('when its static order can be proven'). This distinguishes it from generic analysis siblings like analysis_data_flow or detect_obfuscation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied through the condition 'when its static order can be proven', but there is no explicit guidance on when to use this tool versus alternatives like js_deobfuscate_pipeline or analysis_ast_match. It provides some context but no exclusions or comparisons.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and adds useful behavioral traits: 'deterministic', 'static', and 'heuristic', which signal that it does not execute code and produces repeatable results. It also lists specific risk categories. However, it does not explicitly state whether the scan is read-only or describe the return format, leaving some ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, dense sentence that front-loads the core action ('Run a deterministic static heuristic scan') and enumerates specific risk categories. No filler or redundancy; every word earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple (one parameter) but has no annotations and no output schema. The description explains what the tool scans for but does not mention what it returns (e.g., a report, list of findings, severity scores). For a security scan, return-value information is important, so the description is not fully complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only the parameter name 'code' with length constraints (0% description coverage). The description implicitly indicates that 'code' is the JavaScript to be scanned, but adds no details about expected format, encoding, or how the scan uses the parameter beyond the obvious. It meets the baseline but does not compensate much for the schema's lack of description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Run') and resource ('static heuristic scan for dynamic code, injection sinks, weak randomness, hard-coded credentials, and related risks'), clearly distinguishing it from sibling tools like detect_obfuscation or detect_crypto, which target narrower concerns. The scope is explicit and actionable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage as a broad security scan for JavaScript code, but it does not explicitly state when to use it versus alternatives, nor does it mention exclusions or complementary tools. The context is clear but lacks direct guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It only says 'apply', providing no details on output format, side effects, reversibility, or required permissions. 'Apply' suggests mutation but unclear if it returns transformed code or modifies state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence, front-loaded with the verb, no redundant words. Every part earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 3 parameters, no annotations, and no output schema, the description is too sparse. It omits return behavior, error conditions, and how the two modes interact. For a transformation tool, more context is needed for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It hints at two modes (inline transforms vs saved chain), which correspond to the 'transforms' and 'chainName' parameters, but does not explain the code parameter explicitly or the valid transform values. Lacks detail needed to correctly invoke.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Apply') with a clear resource (transforms/transform chain) and target (JavaScript). It distinguishes from siblings like ast_transform_preview (preview) and ast_transform_chain (save/manage chains) by focusing on actual application.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like ast_transform_preview or js_deobfuscate_pipeline. The description implies usage (supply code and a transform), but does not state conditions or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations exist, so the description must carry behavioral disclosure. It does add that the chain is 'in-memory' and scoped to 'this MCP process', which clarifies lifecycle and volatility. However, it omits behaviors like overwriting an existing name, return value, or side effects.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one short, front-loaded sentence with no filler. It gets the core action and scope across quickly, meriting high conciseness despite being terse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with no annotations or output schema, the description lacks several contextual details: duplicate name behavior, how the chain is referenced later, relation to apply/preview siblings, and return value. The enum schema helps, but the narrative context is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description needed to explain parameters. 'Named' hints at the name parameter and 'chain' implies the ordered nature of transforms, but the transforms enum values and the optional description field are left entirely to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Create') and resource ('in-memory named transform chain'), and clarifies the process-local scope. It is clear about the action, though it does not explicitly differentiate from sibling tools like ast_transform_preview/apply.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as ast_transform_apply or ast_transform_preview. There are no exclusions or context statements beyond the basic creation act.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description discloses two behavioral traits: transforms are deterministic and the diff is bounded. It also implies a non-destructive preview operation. However, it does not detail error handling or behavior with invalid transforms, so it earns a 4 rather than a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. It states the action, scope, and return type efficiently.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has only two parameters, but the description omits important context such as how the diff is formatted, whether transforms are applied in order, or any prerequisites. It covers the core preview behavior but leaves room for ambiguity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not explain that 'code' is JavaScript source or what 'transforms' actually does beyond the name. The schema's enum helps, but the description adds no parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Preview' and clearly identifies the resource ('supported deterministic JavaScript transforms') and the output ('bounded line diff'). This distinguishes it from sibling tools like ast_transform_apply (which applies) and ast_transform_chain (which chains).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies a pre-application preview use case but provides no explicit guidance on when to use this instead of ast_transform_apply, ast_transform_chain, or transform_workbench. No exclusions or alternatives are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden for behavioral disclosure. It only states the conversion function and omits details about error handling, return format, edge cases, or the effect of the maxLength constraint. This leaves the agent uncertain about what happens with malformed input or how JSON output is structured.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that conveys the core functionality without wasted words. It is appropriately front-loaded and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 3 parameters, no annotations, and no output schema, yet the description is extremely brief. It does not explain what the tool returns, how JSON output is handled, or any behavioral nuances such as handling of invalid base64/hex input. Given the potential complexity of decoding/conversion, this is incomplete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has zero description coverage for parameters, and the description only lists the supported formats without explicitly mapping them to inputEncoding/outputEncoding. The parameter names and enums are self-explanatory, and the description adds marginal context, but it does not compensate for the complete lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool decodes between base64, hex, UTF-8, and JSON representations, providing a specific verb and resource. It distinguishes itself from siblings like binary_encode and binary_entropy_analysis by focusing on decoding/conversion rather than encoding or analysis.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use when needing to convert a binary payload between the listed encodings. However, there is no explicit guidance on when to prefer this over binary_encode or other sibling tools, and no exclusions or prerequisites are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden of behavioral disclosure. It describes the detection method (magic bytes, text signatures, entropy), which is useful, but omits output format, limitations, and side-effect information, making it moderate but incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single 11-word sentence with no fluff. It states the core purpose immediately and every word contributes to meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema and no annotations, the description should explain return values and usage context, but it only states the detection approach. It lacks information on output format, supported formats, and input requirements, making it incomplete for a tool with a single required parameter and no output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not mention parameters. The names 'data' and 'inputEncoding' are somewhat self-explanatory, and the enum for inputEncoding is provided in the schema, but the description adds no semantics beyond them.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Detect') and specifies the resource ('common binary formats') and method ('magic bytes, text signatures, and entropy'). This clearly differentiates from sibling tools like binary_entropy_analysis or proto_auto_detect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like proto_auto_detect or binary_entropy_analysis. The usage is only implied for detecting binary formats, with no explicit context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden of behavioral disclosure. It states the core transformation (convert between encodings) but omits details about how the data parameter should be supplied for JSON input, the structure of the return value, or error handling. This is minimal but not misleading.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence that front-loads the action and enumerates the relevant formats. Every word contributes useful information; there is no fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema and no annotations, and the description is too sparse to fully inform an agent. It does not specify what the output looks like, how to handle JSON input, or any defaults beyond those in the schema. For a tool with a generic 'data' parameter, this is insufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It restates the enum values for inputEncoding and outputEncoding, which the schema already provides, but it does not clarify the 'data' parameter's expected type or how to pass JSON content. The ambiguity around the 'data' parameter is a significant gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Encode') and names the resource (binary payload) and the input/output formats, clearly conveying the conversion purpose. It does not explicitly differentiate from sibling tools like binary_decode, so it loses the point for sibling distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives no guidance on when to use this tool versus alternatives such as binary_decode or other encoding tools. It neither states explicit use cases nor exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses the core behavior (entropy and byte-frequency calculation) and the 'bounded payload' constraint, but it does not describe output format, memory/performance considerations, or any edge-case behavior beyond the obvious read-only calculation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that front-loads the main purpose. Every word earns its place; there is no verbosity or repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is conceptually simple, but with no output schema, the return value (e.g., entropy value, byte-frequency table) is unspecified. The description covers the primary function but omits details that would help an agent anticipate the result, making it partially incomplete for a tool with no structured output definition.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for the parameters. It does not mention 'data' or 'inputEncoding'. The schema provides enums and a default for inputEncoding, which offers some semantics, but the description adds no parameter-specific meaning and fails to bridge the low coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Calculate') and identifies a concrete resource ('Shannon entropy and byte-frequency distribution') with a scope qualifier ('bounded payload'). This clearly distinguishes it from sibling tools like binary_detect_format or proto_auto_detect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention exclusions, prerequisites, or any comparison to sibling tools such as binary_detect_format or binary_decode. Usage context is only implied by the tool's name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries full responsibility. It states 'Append' and 'update', but does not clarify whether existing blackbox patterns are preserved or overwritten, what session scope is affected, or whether the operation has side effects beyond the CDP call. The brevity leaves ambiguity despite the explicit mention of Debugger.setBlackboxPatterns.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence that is efficiently worded and directly states the core action. It is not overly verbose, though it could benefit from a second sentence clarifying behavior or parameters.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with three parameters and no output schema, the description is too sparse. It does not cover session-related nuances, whether the operation is additive or replacing, or what the result/return value is. The lack of any behavioral or parameter detail makes the tool hard to invoke correctly without external knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, with no per-parameter documentation. The description mentions 'patterns' but does not explain sessionId or targetSessionId, leaving the distinction between the two session-related parameters entirely opaque. No additional meaning is conveyed beyond what the raw schema types imply.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Append' and names the resource 'debugger blackbox patterns', and it explicitly ties the operation to the CDP method Debugger.setBlackboxPatterns. This clearly distinguishes it from siblings like blackbox_list (listing) and blackbox_add_common (adding common patterns).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., a debugger session must be active), nor does it reference sibling tools like blackbox_add_common or blackbox_list, which could clarify the intended use case.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations provided, so the description carries full responsibility for behavioral disclosure. It does not state side effects, session requirements, or any operational details. The tool could modify debugger state, but this is never mentioned.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short, but this is under-specification rather than concise elegance. It is a fragment with no structure or front-loaded information that would help an agent.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and a vague description, the tool is completely underspecified. There is not enough information to understand its purpose, behavior, or parameters.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description adds no meaning to the parameters 'sessionId' and 'targetSessionId'. No examples, constraints, or relationships are described.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Blackbox common framework and dependency script patterns' is a noun phrase without a clear verb. It hints at adding blackbox patterns but does not explicitly state the action or scope. It does not differentiate from the sibling tool 'blackbox_add'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is given on when to use this tool versus alternatives like 'blackbox_add' or other debugger tools. There is no mention of prerequisites, use cases, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the burden of disclosing behavior. 'List' implies a read-only operation, but the description doesn't state whether an active session is required, whether results are paginated, or what the return format looks like. It adds minimal behavioral context beyond the verb.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words. It efficiently conveys the core purpose without redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool is simple, but with no output schema and sparse annotations, the description should clarify what the list contains, how it is returned, or any preconditions (e.g., active session). It merely states the resource and scope, leaving the agent to guess at behavior and return structure.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the only parameter, sessionId, is not explained in the description. The phrase 'for a Raw session' loosely connects to sessionId, but it lacks detail about the expected format, semantics, or how it relates to other session tools.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('List'), the resource ('blackbox patterns'), and the scope ('maintained for a Raw session'). It distinguishes from sibling tools like blackbox_add and blackbox_add_common, which add patterns rather than listing them.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. While 'maintained for a Raw session' hints at a session context, it does not mention prerequisites, exclusions, or why one would choose this over other debugger tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description bears full responsibility for disclosing side effects and behavioral traits. It merely states the operations without noting that breakpoints affect debugger state, whether a session must be active, or what the response contains. This is insufficient for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, focused sentence that is front-loaded and contains no redundant information. It efficiently communicates the core purpose without wasting words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (14 parameters, no output schema, no annotations), the description is severely underspecified. It does not cover parameter semantics, return values, error conditions, or usage prerequisites, leaving the agent with significant gaps in understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% with 14 parameters. The description makes no effort to explain parameter meanings, usage, or dependencies. It only loosely references breakpoint types (exception, XHR, event) that align with action enum values, providing minimal added value over the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool adds, removes, or lists source breakpoints and manages exception, XHR, or event-listener breakpoints. It uses a specific verb+resource structure and distinguishes this tool from siblings, none of which handle breakpoint management.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit guidance on when to use this tool versus alternatives. The description only lists actions without mentioning prerequisites, context, or exclusions. An agent must infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations the description carries the full burden, and it does add useful behavior: clicks execute a complete CDP mouse sequence within one request, press handles navigation keys, select targets native controls. But it omits safety-critical behavior the schema hints at — that 'confirmed' gates potentially submitting clicks and that refs are short-lived — and says nothing about error behavior or whether actions wait for navigation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tightly packed sentences, front-loaded with the core action and then the highest-value usage hint (ref + snapshotId) before the per-kind notes. No filler, though the opening abstraction costs a little clarity for the space it occupies.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an 11-parameter mutating tool with no annotations and no output schema, the description is only partially complete: it never explains the confirmed-gate semantics for submitting clicks, what happens on failure, or what the call returns. The high schema coverage (82%) offsets some of this, but the behavioral and safety context is thin.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 82%, so the baseline is 3. The description reinforces the ref+snapshotId pairing and kind-specific intent (press keys, select for native controls), but much of this duplicates schema text such as the key example list, and the fill/value requirement and the confirmed flag's meaning are left to the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a vague abstraction ('Perform one atomic high-level action') and never states plainly that this clicks/fills/presses/selects a page element, though the follow-up clauses about CDP mouse sequences, navigation keys, and native <select> controls do clarify the domain. It also fails to distinguish itself from the sibling tools browser_click and browser_fill, which appear to overlap directly, leaving an agent unsure which entry point to choose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The 'Prefer a ref plus snapshotId from the latest browser_snapshot' line is genuine workflow guidance implying browser_snapshot must run first, and the schema adds a selector fallback. However, there is no tool-level when-to-use/when-not guidance, and with browser_click and browser_fill as siblings the omission of any routing rule is a real gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It hints at a focus-changing side effect, but says nothing about what happens if tabId is stale/nonexistent, whether the call is idempotent, whether it requires the browser to be attached, or whether activating steals OS-level focus. One clause is not enough for a mutation-style browser action.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with no filler or repeated schema content. It is appropriately terse, though arguably so terse that required context is omitted rather than merely compressed.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a browser-mutating tool with no annotations, no output schema, and an undocumented required parameter, this definition is incomplete. It omits the connected-browser prerequisite, the origin of tabId, and the failure behavior, leaving meaningful gaps for an agent to guess at.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%: the browser parameter is documented in the schema (instanceId/label from browser_list_instances), but tabId — the required parameter — has no description anywhere. The description does not explain where a tabId comes from (browser_list_tabs / browser_open_tab) or what values are valid.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (activate) and resource (Chrome tab) plus the side effect of focusing the window, which cleanly separates it from browser_open_tab, browser_close_tab, and browser_list_tabs. It does not name those siblings explicitly, so it stops short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance, no statement of the precondition that a browser must be connected, and no routing advice versus browser_open_tab (which also results in an active tab) or browser_navigate. The agent must infer the calling context entirely.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and largely meets it: it warns that raw captured events may expose credentials and private data, explains the idle-lease model that any valid call renews, mandates detaching, and states that a busy tab produces an error naming the holder. It does not disclose return shape or whether elevated permissions are required, but the safety and concurrency behavior is unusually well covered.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Four tight sentences, front-loaded with the core action and then layered safety, lease, and error behavior. Nearly every sentence earns its place; the density is high but not padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, and the description still covers safety, concurrency, lifecycle, and the busy-error case adequately for a 7-parameter tool. The remaining shortfall is the undocumented maxBytes/maxEvents bounds and no pointer to the follow-up command tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 43%, so the description must compensate. It adds real meaning for captureEvents (sanitized projection, credential exposure) and the lease renewal behavior. But maxBytes and maxEvents have no description in either place, leaving a genuine gap the description does not fill.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: 'Attach an unrestricted Chrome DevTools Protocol session to one tab.' It is clearly distinguishable from browser_cdp_send, browser_cdp_events, and browser_cdp_detach by being the attachment step. However, it never names a sibling, so the differentiation is inferred rather than explicit.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete when-to-use guidance: set captureEvents=false when only commands plus a sanitized network projection are needed. It also prescribes lifecycle behavior ('always detach') and explains the busy-tab outcome. It stops short of naming alternatives like browser_cdp_detach or browser_cdp_send as the follow-up path.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of disclosing side effects and safety profile. It does mention 'release child-target routing state', which is useful internal behavior, but it does not explain the impact on the tab (e.g., whether it stays open), what happens to the session, or whether the operation is reversible. This leaves significant ambiguity.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence with no redundant words or filler. It front-loads the main action ('Detach') and clearly states the primary resource and additional state. This is an efficient and well-structured description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutating cleanup operation with no annotations and no output schema, the description is too brief. It does not mention the return value (e.g., success/failure), side effects on the tab, or any prerequisites (e.g., session must exist). Given its role as a counterpoint to browser_cdp_attach, more detail is needed to use it safely and correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has one required parameter (sessionId) with string constraints, but the description does not reference this parameter at all. Schema description coverage is 0%, and the description does not compensate by explaining how to obtain or use the sessionId. The parameter name is self-explanatory, but the description adds no value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Detach') and clearly identifies the resource ('CDP session') and the scope ('from its tab and release child-target routing state'). This distinguishes it from the sibling tools like browser_cdp_attach, browser_cdp_send, and browser_cdp_events, making its function immediately clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states what the tool does but provides no guidance on when to use it, what prerequisites must be met, or what alternatives exist. It does not mention that this should be used after finishing a CDP session or in conjunction with browser_cdp_attach. The context is implied but not explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It warns that results may contain secrets or private browsing data, which is a critical transparency element. It also clearly states the lack of field sanitization, but does not mention pagination behavior or whether polling is incremental. Overall, it provides valuable context beyond the bare schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two concise sentences, with the first stating the core function and the second providing a critical safety caveat. Every word earns its place, and it is front-loaded with the main action. No unnecessary details are included.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, output schema, and parameter descriptions, the description is incomplete. It does not explain the return format, how polling works (e.g., cursor semantics), or that sessionId is required. The tool has four parameters, and the description offers no guidance on how to use them or what to expect in response, leaving significant gaps for an AI agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate by explaining parameters, but it does not. The parameter names are somewhat self-explanatory (limit, timeoutMs), but 'afterCursor' and the required 'sessionId' are not explained in context. The description adds no parameter-level information, making it difficult for an agent to understand how to correctly set these fields.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool reads original CDP event methods, source targets, and params without field sanitization, specifying both the verb and resource. The phrase 'without field sanitization' differentiates it from sanitized alternatives like browser_watch_events. This is a specific and unambiguous purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for accessing raw CDP events, but it does not explicitly state when to use this tool over siblings like browser_watch_events or browser_network_poll. It also does not mention exclusions or prerequisites beyond the required sessionId in the schema. The guidance is inferred rather than explicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It explicitly discloses two behavioral traits: there is no method allowlist (any CDP method can be sent) and no response sanitization (raw responses returned). It also clarifies a prerequisite: targetSessionId references a child target previously attached within this Raw CDP session. This goes beyond the schema and gives important transparency for an unrestricted command tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, immediately stating the core function and the one non-obvious parameter usage. There is no filler, and every word adds value. It is front-loaded with the primary purpose, making it easy for an agent to quickly understand the tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description is largely complete for a raw low-level CDP tool. It explains the unrestricted nature, the child-target parameter, and the session context. There is no output schema, so the description does not detail return values, but 'no response sanitization' implies the raw CDP response is returned. Given the complexity and the sibling tools (e.g., browser_cdp_attach), the description provides enough context for an agent to invoke it correctly, though it could briefly mention the source of sessionId.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds meaning for targetSessionId ('use for a child target previously attached') and implies params is JSON via 'JSON params'. However, sessionId and method are not explained beyond their names and the tool title. The description does not fully elucidate all four parameters, so it only partially compensates for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Send any CDP method and JSON params'. It specifies the verb (send) and resource (CDP command), and explicitly differentiates itself from sibling tools by noting there is 'no method allowlist or response sanitization', marking it as the raw/low-level option in the browser_* family.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context about when to use the tool: for raw CDP commands that bypass normal restrictions, and specifically instructs to use targetSessionId for child targets attached within the current Raw CDP session. It does not explicitly list alternatives or say when not to use it, but the 'without a method allowlist or response sanitization' phrasing implies it is for cases outside the curated sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It usefully discloses the tool's compatibility/legacy status and the preferred alternative, but says nothing about click side effects — navigation, form submission, waiting for load, or failure modes — which matter for a mutating interaction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, zero filler, with the compatibility caveat and the preferred alternative front-loaded. Nothing could be cut without losing routing value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutating click tool with no annotations and no output schema, the description covers tool selection well but is thin on what the click actually does (submission, navigation, confirmation requirements) and on restart/error behavior. The schema's 'confirmed' field partially compensates, keeping this at minimum-viable rather than inadequate.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

At 60% schema coverage, tabId and selector are undocumented in both schema and description, and the description adds no parameter semantics at all. It does not explain that 'confirmed' gates potentially submitting clicks or how browser/debuggerSessionId selection interacts with this call.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The phrase 'Compatibility selector-based click' gives a specific verb (click) and mechanism (CSS/selector targeting), and explicitly contrasts itself with browser_act's ref-based approach. It does not spell out the resource scope (a page element in a given tab), but an agent can identify the action without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes new workflows to 'browser_snapshot refs with browser_act', which is a clear when-not-this / use-that statement. It does not state the condition under which this tool is still the right choice (e.g., only selectors available, no snapshot refs), leaving that inference to the agent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden and does disclose one meaningful behavioral constraint (session-scoped, bridge-created tabs only). However it omits what happens on a violation (error vs. no-op), whether the close is irreversible, and any permission requirements, leaving notable gaps for a destructive operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with the verb first and the guard condition second; nothing is wasted. It is terse to the point of omitting necessary behavioral detail, but as structure it is clean.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and only 50% parameter coverage, the definition is only minimally complete. It establishes scope but leaves failure modes, return behavior, and the tabId parameter unaddressed, so an agent can select it but not confidently invoke it in edge cases.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50%: browser is documented in the schema but tabId has no description anywhere, and the description adds no parameter meaning at all. The tool's central identifier (tabId) is therefore unexplained in both places, which the description should have compensated for.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Close) and resource (a tab) plus the eligibility condition (bridge-created in the current extension session), which separates it from generic tab tools. It does not name a sibling alternative or otherwise contrast with browser_list_tabs/browser_activate_tab, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides a clear precondition for use: only close tabs created by Chrome Agent Bridge in the current session, which implicitly tells the agent when NOT to use it. No explicit alternative is named for the case where the tab was user-created, so it is clear context without full when/when-not routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden and does so well: it discloses optimistic-concurrency failure behavior (fails if the holder changed), lease-state-dependent branching, the user-approval requirement for live sessions, and the important side-effect boundary that detaching does not undo navigation, evaluation, or storage changes the holder made.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, each carrying distinct load: purpose, invocation contract, lease branching, and side-effect scope. The most decision-relevant fact (what identifier to pass and what happens if it is stale) is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For an unannotated mutation tool with no output schema and only two required parameters, the description covers purpose, preconditions, failure mode, and postconditions well. The one gap is that no return value or success/failure signal is described, though the tool's failure semantics are at least stated.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 50%: browser and confirmed are documented in the schema, while tabId and expectedSessionId are not. The description compensates by defining expectedSessionId as the occupant's sessionId (the identity the CAS check runs against) and reinforcing the semantics of confirmed, which is more than the schema states.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource — releasing a tab's debugger attachment — and narrows the scope to a lease 'left by another session,' which separates it from the sibling browser_cdp_detach. It stops short of naming that sibling explicitly, so an agent must infer which detach path applies.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives an explicit when-to-use rule plus the required precondition: pass the occupant's sessionId as expectedSessionId, and the call fails if the holder changed. It also branches the usage path — idle/expired lease releases directly, live lease needs confirmed=true after explicit user approval — so the agent knows exactly which arguments each case demands.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full behavioral burden, and it is thin. It does not state the default lease length, what happens when a lease lapses (does the session die?), whether the session must be currently valid, or what errors surface on an invalid sessionId. The only real disclosure is that the lease can be extended rather than reset.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, action first and usage guidance second, with zero filler. Nothing here could be cut without losing information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple two-parameter tool with no annotations and no output schema, the description covers purpose and usage adequately but omits lease mechanics (default duration, expiry consequences, recovery path) that an agent needs to call it safely. It is minimally viable rather than complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description mentions only one parameter indirectly ('optionally changing its length'), which usefully communicates that leaseTtlMs is optional and represents duration. sessionId is left unexplained beyond 'this task holds', and units/defaults for the TTL are only inferable from the parameter name and schema bounds.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Renew) and resource (idle lease of a Raw CDP or network session), and scopes it to a session 'this task holds', which an agent can distinguish from the session-listing and lifecycle siblings. It stops short of naming the adjacent tools (e.g. browser_debugger_recover or browser_debugger_sessions) that could be confused with it.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Use during long pauses between calls' is a concrete usage trigger, not an implied one. However, it gives no exclusion condition and does not point to the alternative to use when the lease has already expired, which is the main decision boundary an agent faces here.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the safety burden and does so: it declares the operation read-only and explicitly states it does not renew any lease, a key behavioral trait given the sibling renew/recover tools. It also previews the returned fields, though it omits any limits, pagination, or permission requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences, front-loaded with the purpose before the read-only caveat. The enumerated output fields make the first sentence dense but nothing is wasted.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, 2-parameter listing tool with no output schema, the description compensates by describing the projected return fields and the non-renewing behavior. The main remaining gap is pagination/volume behavior, which is minor here.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so both tabId and browser are already fully documented, including browser's guidance to use browser_list_instances. The description only loosely echoes this via 'in one browser' and 'tab debugger attachments', adding little beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (List) and resource (Raw CDP and network sessions holding tab debugger attachments), and enumerates what it surfaces: owner label, lease expiry, in-flight commands, and network projections. This clearly distinguishes it from mutating siblings like browser_debugger_renew, though it never names those siblings explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the purpose ('List ... sessions'). The caveat 'it does not renew any lease' hints at a boundary with browser_debugger_renew, but there is no explicit when-to-use / when-not guidance or named alternative, leaving the agent to infer selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full disclosure burden, yet it says nothing about side effects, whether input/change events fire, whether the tab must be active, or what happens on failure. The only behavioral signal is the compatibility/deprecation framing, which is context but not behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences, front-loaded with the compatibility caveat and the alternative, with no filler. The tradeoff is under-specification rather than verbosity, so it is efficient but thin.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 5-parameter mutation tool with no annotations, no output schema, and only 40% schema coverage, the description omits permissions, return/error behavior, and most parameter meaning. The deprecation note is useful but insufficient to call this tool correctly from the description alone.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is only 40%, with tabId, selector, and value undocumented, so the description must compensate and does not. 'selector-based fill' marginally maps to the selector/value params but adds no format, syntax, or required-parameter meaning.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the mechanism ('selector-based fill') and its status ('compatibility'), which combined with the title 'Fill page field' tells an agent this writes a value into a form field identified by a CSS selector. It also implicitly distinguishes itself from the newer ref-based approach, though the phrase 'selector-based fill' is a fragment that never states the resource (a page/form field) explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit routing instruction: 'New workflows should use browser_snapshot refs with browser_act.' That names the preferred alternative and the condition (new vs. existing/compatibility workflows) that selects it. It stops short of stating when this tool is the correct choice beyond 'legacy compatibility'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are supplied, so the description carries the full burden. It discloses the returned fields and the source of the data (machine bridge), which is helpful, but does not explicitly confirm the operation is read-only, nor mention any auth, permission, or failure/empty-case behavior. Adequate but with clear gaps for a no-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, zero filler, with the enumeration of returned fields front-loaded and the call-first guidance following. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no input parameters, so the description must carry the whole load. It compensates by listing the fields each instance exposes, but could go further on safety/error behavior and explicit read-only status.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so baseline is 4. The description still adds value by naming the keys returned (instanceId, label) that are later consumed as the `browser` argument elsewhere, which is meaningful cross-tool context despite no input to document.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb and resource ("List every Chrome ... connected to this machine's bridge") and enumerates what each entry contains (instanceId, label, reachability, tab count). This distinguishes it from siblings like browser_list_tabs (tabs within one browser) and browser_status, letting an agent pick it without opening a schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit trigger ("Call this first when more than one browser may be connected") and explains the downstream payoff (passing instanceId or label as `browser` to browser tools). It does not name a concrete alternative tool or state when-not-to-use, so it falls short of a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations, so the description must carry behavioral disclosure. 'List' implies read-only and 'scriptable' scopes the result, but the description omits return format, pagination, permissions, and what makes a tab scriptable—significant gaps for a no-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two short sentences with the core purpose first and the usage hint second; no filler or repetition. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple one-param list tool with no output schema and no annotations, the description establishes what it does and when to use it, but does not say what the returned list contains. That leaves an agent guessing about the fields needed to select a tab ID.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, and the single optional 'browser' parameter is fully documented in the schema. The description adds no parameter meaning beyond the schema, so the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('List') and resource ('scriptable Chrome tabs'), and the scope qualifier 'scriptable' separates it from a generic tab dump. However, it never names or distinguishes from sibling tools like browser_list_instances, so an agent must infer the resource boundary from the name alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

'Use before selecting a tab ID' gives a clear precondition for this tool. It stops short of naming which tools consume the tab ID or when not to use it, so no alternatives or exclusions are stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It doesn't disclose what happens if the URL is already loaded, whether navigation is blocking, whether history is affected, or any error behavior for a mutation-like operation on an existing tab.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence that is precise and contains no wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 3-parameter tool with no annotations and no output schema, the description is too sparse. It omits required behavior around tab existence, multiple-browser resolution, and navigation side effects that an agent would need.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 33%; tabId has no schema description, but the description implies the target is an existing tab. The browser parameter is partly covered by the schema description referencing browser_list_instances, and the url formats are listed in the description, adding some value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (navigate) and resource (existing tab) with accepted URL schemes. It is differentiable from browser_open_tab, though the description does not explicitly name that sibling to clarify the distinction.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The word 'existing tab' implies the tab must already be open, hinting that browser_open_tab is the alternative for new tabs, but this is never stated. No explicit when-to-use or when-not-to-use guidance is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Without annotations, the description carries the burden. It discloses that data is sanitized and provides details about completion/failure events (method, status, durationMs). However, it omits behaviors like cursor semantics, pagination limits, or whether reading is non-destructive.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no filler. The first sentence front-loads the core action and event types, the second adds relevant detail about the completion/failure event fields. Every sentence earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 parameters, no output schema, and no annotations, yet the description is only two sentences. It lacks essential context for a polling tool: what the response structure looks like, how cursors work, how to handle empty results, and how it relates to the broader network event workflow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the description does not compensate. 'after a cursor' loosely maps to the afterCursor parameter, but limit, timeoutMs, and sessionId are not explained; the connection to the schema is minimal.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool reads network metadata events after a cursor, specifying the event types (request, response, completion, failure, WebSocket lifecycle). It distinguishes itself via the 'after a cursor' polling pattern, though it doesn't explicitly contrast with sibling tools like browser_watch_events.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to use this tool versus alternatives such as watch_events or network_stop. It implies sequential polling with 'after a cursor' but lacks explicit context or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden well: it discloses that this is metadata-only (headers/bodies never returned), that a rawSessionId lets you reuse an existing Raw CDP attachment instead of double-attaching, that a tab idle lease is acquired, and that the monitor must always be stopped. Missing: any note on rate limits, permissions, or the retention window of collected events.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Three tightly-packed sentences, front-loaded with the core 'start a tab-scoped monitor' purpose, followed by the rawSessionId optimization and the resource-lifetime warning. No filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 10-parameter tool with no annotations, no output schema, and 30% schema coverage, the description covers the key behavioral points (metadata-only, lease behavior, stop required) but is silent on the seven undocumented parameters and the lifecycle relationship with browser_network_stop. Slightly short of complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 30%, so the schema leaves 7 of 10 parameters undocumented. The description only clarifies rawSessionId semantics; it does not explain urlMode, maxBytes, maxEvents, resourceTypes, urlIncludes, or the tabId/browser pairing. It partially compensates but leaves notable gaps.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Start a tab-scoped, metadata-only Chrome network monitor'). The 'tab-scoped' and 'metadata-only' qualifiers distinguish it precisely from siblings like network_intercept and browser_network_poll.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage via the rawSessionId reuse hint and the 'always stop it' directive, but never explicitly states when to choose this tool over siblings such as network_intercept, network_export_har, or browser_network_poll. There is no 'use this when...' guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden. It discloses resource release and the conditional detachment of Chrome, which is critical side-effect behavior. It doesn't cover idempotency or error scenarios, but for a stop operation this is above-average transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with no redundancy. The first states the action, the second clarifies a boundary condition. Every phrase serves a purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a stop operation, the description covers the core action and a meaningful side effect. It doesn't mention prerequisites or return values, but the sibling tools imply the usage flow and the complexity is low. The description is reasonably complete for its context.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has a single required parameter, sessionId, with no description (coverage 0%). The description never mentions sessionId or clarifies what it refers to. It relies entirely on the tool name and title to infer that sessionId identifies the network monitor, adding no meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Stop') and resource ('a network monitor') and adds a precise behavioral caveat about Chrome detachment. It clearly distinguishes from siblings like browser_network_start and browser_network_poll by indicating this is the teardown operation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit when-to-use guidance or alternative tools are mentioned. The ownership caveat ('detaches Chrome only when the monitor owns the attachment; a reused Raw session remains attached') gives some context for a specific condition, but it doesn't tell the agent when to prefer this over network_poll or cdp_detach. Usage is implied rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It notes the accepted URL schemes but says nothing about whether a new tab is created, whether it becomes focused, how the 'active' flag behaves, or what happens on a malformed URL — significant gaps for a browser-mutating tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence with zero filler. Nothing to trim and the core action leads.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no annotations, no output schema, and only 33% schema coverage, the definition leaves too much unspecified. It doesn't cover the 'active' parameter's effect or the new-tab lifecycle, which an agent needs to invoke it confidently.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 33%; the 'browser' param is documented in the schema, but 'url' and 'active' are not. The description partially compensates by enumerating valid URL schemes (HTTP, HTTPS, file, about:blank), but adds no meaning for 'active'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Open') and resource ('tab') plus the accepted URL schemes, which is clear. However, it never distinguishes itself from the close sibling browser_navigate, so an agent can't tell from the text alone which one to reach for.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance and no mention of alternatives. With browser_navigate, browser_activate_tab, and browser_close_tab in the sibling set, the description should say when a new tab (vs. navigating the current one) is appropriate, but it does not.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It usefully discloses a side effect ('This activates the tab'), which an agent should know before calling it. But it says nothing about what is returned (image data, file path, base64?) or any permission/tab-state requirements, so the behavioral picture is incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight, front-loaded sentences with no filler. Brevity is appropriate, though the terseness contributes to the missing information elsewhere.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no output schema, no annotations, and 50% parameter coverage, the description should at minimum explain the return format (image vs. path) and clarify tabId. It does neither, leaving real gaps an agent must guess at.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 50%: the 'browser' parameter is documented in the schema, but 'tabId' has no description anywhere. The description mentions no parameters at all, so it does not compensate for the undocumented required parameter. This is below the baseline 3 reserved for adequate coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Capture the visible viewport of a Chrome tab'), so the action is unambiguous. However it never distinguishes itself from the sibling browser_snapshot, which an agent could easily confuse with a viewport screenshot.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance on when to prefer this over browser_snapshot or other capture tools, and no prerequisites stated. The only contextual note is the side effect that it activates the tab, which is behavioral rather than usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It usefully discloses that refs are short-lived and must be refreshed after each action, but says nothing about output shape, tab-state requirements, or what maxChars truncation does to the returned content.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tightly written sentences with zero filler; the core capability is front-loaded ahead of the workflow instruction.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and no annotations mean the description must cover more ground. It handles the ref lifecycle well but omits parameter guidance and return-format expectations, which is a meaningful gap for a 3-param read tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 33%, yet the description mentions none of the three parameters (tabId, browser, maxChars). It does not compensate for the undocumented tabId and maxChars, leaving parameter meaning entirely to the thin schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource: read visible page text plus semantic interactive elements. This implicitly distinguishes it from browser_screenshot (visual capture), but it never names a sibling or explicitly contrasts scope, so it stops short of full differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides clear workflow context: use a ref with browser_act, then take a fresh snapshot after every action. That tells the agent when this tool fits into the act-observe loop, though it names no exclusions or alternative read tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden. It implies a read-only diagnostic but never states it explicitly, does not describe what constitutes 'connected', what happens when a browser is not connected, or what the result looks like. For a status tool whose entire value is the returned health signal, this is a notable gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single, front-loaded sentence with zero filler. Nothing is wasted, and the core purpose is the first thing the agent reads.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema and no annotations, yet the description does not say what a status check returns (boolean, per-component statuses, error conditions) or how it relates to the broader browser workflow. For a diagnostic entry point, the agent lacks enough to interpret the result.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the single optional 'browser' parameter is fully documented in the schema (instanceId/label, required when multiple browsers are connected). The description adds nothing beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('Check whether') and a specific resource (Chrome extension and native host connection), so an agent immediately understands this is a connectivity/diagnostic check. It does not distinguish itself from siblings like browser_list_instances or browser_cdp_attach, but the purpose itself is unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to call this versus other browser tools, no mention of prerequisites (e.g., when a status check is needed before attaching CDP or listing instances), and no exclusions. The agent must infer usage context from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses long-polling behavior, the event types, and cursor-based sequencing, which is useful. However, it omits timeout behavior, return shape, authentication requirements, and what happens when no events occur, leaving significant behavioral gaps for a no-annotation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no wasted words. It efficiently communicates the polling mechanism, event types, and cursor semantics in one compact statement.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and only 50% schema description coverage, the description should carry more context. It does not explain timeout behavior, return format, or when to prefer this tool over related event or polling tools, making it insufficiently complete for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 50%: tabId and browser are documented in the schema, but timeoutMs and afterSequence are not. The description partially compensates by implying the afterSequence param through 'after a cursor', but it adds nothing about timeoutMs and does not elaborate on filtering or browser selection.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific action (long-poll) and resource (tab events), enumerating created, updated, removed, and activated events after a cursor. It clearly distinguishes this tool from generic event watchers by restricting to tab lifecycle events, though it does not explicitly contrast with siblings like browser_cdp_events.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states what the tool does but provides no guidance on when to use it versus alternatives such as browser_cdp_events or browser_network_poll. There are no preconditions, exclusions, or alternative-selection hints.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the transparency burden. It discloses the core actions: enabling the debugger on a session, collecting metadata, and optionally fetching sources into the local MCP process. However, it omits important behavioral details such as potential side effects on the session state (e.g., whether it pauses or alters execution), reversibility, or any required session prerequisites beyond being 'Raw.'

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, concise and front-loaded with the primary action ('Enable Debugger'). It avoids unnecessary fluff. However, it compresses multiple steps into one sentence, which slightly hurts readability but remains efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (7 parameters, no output schema, no annotations), the description is incomplete. It does not explain return values, session prerequisites, side effects, or how it fits with sibling debugging tools. It introduces the term 'Raw session' without definition, leaving the agent without sufficient context to invoke the tool optimally.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter explanations. It vaguely references 'optionally fetch bounded script sources,' which hints at includeSource and maxSourceBytes, but it does not clarify the meaning or purpose of waitMs, maxScripts, urlIncludes, or targetSessionId. The description adds minimal value beyond the parameter names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: enabling the debugger, collecting script metadata, and optionally fetching script sources. It uses specific verbs and identifies the resource (page JavaScript on a Raw session). However, it does not explicitly distinguish itself from related sibling tools like debugger_lifecycle or sourcemap_fetch_and_parse.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool over alternatives. It does not mention exclusions, prerequisites, or alternative tools for related tasks (e.g., debugger_session, sourcemap_fetch_and_parse). The only implied context is 'existing Raw session,' but no when-to-use or when-not-to-use guidance is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosing side effects. It states that it 'enables Runtime' and 'consumes' exception events, which hints at state-changing behavior (turning on a domain, potentially clearing an event queue). It also mentions 'bounded' and 'unsanitized', giving some detail about the output. However, it does not explicitly state that the 'clear' parameter may wipe stored exceptions, or what 'bounded' means in practice (e.g., count or timeout).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with 12 words, making it efficient. It avoids fluff and gets to the point. However, the brevity causes some vagueness; phrases like 'bounded unsanitized' are compressed and not immediately understandable.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with 4 parameters, no schema descriptions, no annotations, and no output schema, the description is notably incomplete. It does not explain the return format, the effect of each parameter, or the implications of enabling the Runtime domain (e.g., does it need to be disabled later?). It gives only a surface-level summary, which is insufficient for an agent to invoke the tool correctly in diverse scenarios.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage, so the tool description must compensate. It uses words like 'consume' (relating to 'clear' maybe), 'bounded' (possibly 'timeoutMs' or a limit), and 'unsanitized' (implying raw output), but it does not explicitly map any of the four parameters ('clear', 'sessionId', 'timeoutMs', 'targetSessionId') to their roles. The description provides only weak hints, leaving the agent to guess the meaning of 'targetSessionId' and the effect of 'clear'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: enabling the Runtime domain, consuming raw exception events, and returning exception details. It uses a specific verb ('enable', 'consume', 'return') tied to a resource (Runtime, exception events), and it distinguishes itself from sibling tools like browser_cdp_send or debugger_get_paused_state by focusing on console exceptions. However, the phrase 'bounded unsanitized exception details' is somewhat vague.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description offers no explicit guidance on when to use this tool versus alternatives. It does not mention any prerequisites, such as needing an active browser session or CDP connection, nor does it exclude scenarios where other tools (e.g., network_poll, debugger_wait_for_paused) would be more appropriate. The only implicit hint is that it is for retrieving runtime exceptions, but that is not enough.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description must carry the full transparency burden. It discloses that executions happen in 'separate bounded Workers', which implies isolation and resource limits. However, it does not mention failure modes, return format, or security implications beyond that. It adds some value but leaves many behavioral aspects unclear.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that front-loads the core action and quickly conveys key details (inputs, worker isolation, comparison). Every word earns its place, with no redundancy or tangential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a code-execution tool with 5 parameters, no output schema, and no annotations. The description covers the high-level purpose but omits critical contextual details such as the return value format, how functionName is invoked, input encoding requirements, and error handling. It is insufficient for a tool that runs user-supplied code in a potentially security-sensitive manner.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It mentions 'two supplied implementations' (mapping to code1 and code2) and 'identical inputs' (mapping to testInputs), but does not explain functionName or timeoutMs. The description adds minimal meaning beyond the schema's field names, providing only partial guidance.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states a specific action ('Run two supplied implementations against identical inputs'), identifies the resource ('two supplied implementations'), and the output ('compare outputs'). This distinguishes the tool from siblings like crypto_test_harness, which likely tests a single implementation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context (comparing two implementations in separate Workers), but it does not explicitly state when to choose this tool over alternatives such as crypto_test_harness or provide any exclusions. The usage is clear from the action, but no explicit guidance is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It usefully notes that execution happens 'in a bounded Worker and vm context' and explicitly warns that it is 'defense in depth, not a security sandbox.' This adds valuable context beyond the schema, though it does not cover failure modes or output behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no fluff. The first sentence front-loads the primary action, and the second provides a crucial security caveat. Every word contributes to understanding, making it highly concise and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 parameters and no output schema, so the description should explain return values and usage nuances. It covers the purpose and the execution context but omits what happens to the function's output, how to construct the code, and any relationship to crypto extraction. The schema fills structural gaps but the description leaves some contextual questions unanswered.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for parameter understanding. It only touches on testInputs via 'deterministic string inputs' and leaves code, functionName, and timeoutMs unexplained. The parameter names are somewhat self-explanatory, but the description adds little beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Run a supplied function against deterministic string inputs in a bounded Worker and vm context.' The verb 'Run' and the resource 'supplied function' are specific, and the mention of 'deterministic string inputs' and 'bounded Worker and vm context' distinguishes it from sibling tools like crypto_compare, which focuses on comparison rather than execution.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool (to test a supplied function with deterministic inputs) but does not explicitly mention alternatives or exclusions. There is no guidance on how it relates to sibling tools such as crypto_compare or js_deobfuscate_pipeline, leaving the agent to infer the appropriate context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the burden. It discloses key behaviors: it blocks waiting for a pause, captures the call stack, and optionally limits scope variables to the top frame with bounding. However, it does not disclose timeout behavior, whether it resumes execution, or what happens if no pause occurs, leaving gaps in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single sentence that is front-loaded with the core action ('Wait for a pause and capture...') and includes essential qualifiers ('optional bounded top-frame') without any fluff. Every word adds meaning.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (5 parameters, no output schema, no annotations), the description provides the core purpose but omits details on return format, error handling, and prerequisite session state. It is adequate for understanding the main function but not fully complete for robust usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It partially maps to parameters: 'optional bounded top-frame scope variables' hints at includeScopes and scopeDepth, and 'wait' implies timeoutMs, but it does not explain sessionId or targetSessionId, and does not provide concrete parameter-level descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('wait' and 'capture') and resource ('call stack plus optional bounded top-frame scope variables'), which clearly distinguishes this from sibling tools like debugger_wait_for_paused (only waits) or get_call_stack (only captures stack).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when a pause is expected and both stack and scope variables are needed, but it does not mention alternatives or explicitly state when not to use this tool, leaving the agent to infer context from sibling tool names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It discloses the fallback behavior and the bounded nature of the projection, which is useful. However, it does not mention side effects, permissions, rate limits, or return format, leaving gaps.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, well-structured sentence that conveys the core action and fallback strategy without wordiness. It is front-loaded and every word adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (5 parameters, no output schema, no annotations), the description is too sparse. It does not explain the meaning of parameters, the output format, or when to use this over similar debugger/sourcemap tools, making it incomplete for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the five parameters (scriptId, sessionId, callFrameId, targetSessionId, includeSourceFallback). It only vaguely references 'script' and 'source-line projection', which is insufficient for an agent to correctly set parameters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: disassembling a script using CDP WASM disassembly with a fallback to source-line projection. The verb 'disassemble' is specific, and the mention of fallback distinguishes it from sibling tools like wasm_inspect.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus alternatives, nor does it mention exclusions or prerequisites. The usage context is only implied by the action (disassemble a script) without reference to sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must carry the burden of disclosing behavior. It states 'executes code' which hints at side effects, but does not warn about potential consequences of executing arbitrary expressions, permission requirements, or promise resolution behavior. This is a significant gap for a code execution tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, with two sentences that convey the core purpose without any filler. It is front-loaded and easy to parse.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has 6 parameters, no annotations, and no output schema, the description is far too sparse. It barely covers the basic function and leaves out crucial information about parameter usage, behavior, and return values. It under-specifies a potentially complex debugger operation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, so the description must compensate. It only adds meaning for 'expression' and the distinction between global and call-frame evaluation (callFrameId). It does not explain sessionId, awaitPromise, returnByValue, or targetSessionId, leaving most parameters undefined.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: evaluating an expression either globally or on a paused call frame. It uses a specific verb ('Evaluate') and resource ('expression') and distinguishes itself from other debugger tools like get_object_properties or get_scope_variables_enhanced by focusing on general expression evaluation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use it (in debugger contexts, globally or when paused) but does not explicitly state when to prefer alternatives or provide exclusions. It lacks guidance on when to use this instead of related tools like get_object_properties.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the transparency burden. It discloses that data is locally cached (potentially stale) and that the call is non-blocking. While it doesn't address edge cases like when no paused state exists, the key non-blocking and cached behaviors are clearly communicated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single concise sentence (13 words) with the verb front-loaded. Every word adds value, and there is no redundancy or filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no annotations, no output schema, and no parameter documentation, the description leaves significant gaps. The agent understands the tool's purpose but lacks guidance on parameter usage, error scenarios, or the structure of returned frames, making confident invocation difficult.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the tool description mentions no parameters. It fails to explain the meaning of sessionId or targetSessionId or how they affect the returned data, leaving the agent without necessary parameter semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Return' and clearly identifies the resource: 'locally cached pause reason and frames'. The qualifier 'without waiting for new events' distinguishes this from blocking pause-wait tools like debugger_wait_for_paused, making the purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'without waiting for new events' gives clear context for when to use this tool: when you need immediate, cached state without blocking. Though it does not explicitly name alternative tools, the contrast with waiting is evident and effectively implies the usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only states the action (enable/disable) without revealing side effects such as impact on existing breakpoints, session state, or reversibility. This is a significant gap for a tool that modifies a debugging domain.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no redundant words. It is appropriately concise for a relatively simple toggle action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the lack of annotations, output schema, and parameter explanations, the description is minimally sufficient but incomplete. It omits details such as what happens if the session is invalid, whether enabling affects performance, and how it relates to other debugger lifecycle operations. The tool is simple, but more context would be needed for safe usage.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not explain any of the three parameters. It fails to clarify the purpose of targetSessionId or how the action and sessionId map to the described behavior, leaving the agent to guess from the bare schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Enable or disable') and a clear resource ('Debugger domain on an existing Raw CDP session'), making it distinct from sibling debugger tools like debugger_pause or browser_cdp_send. It answers what the tool does precisely.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It clearly states the prerequisite of an existing Raw CDP session, implying use after attaching a session (e.g., via browser_cdp_attach). However, it does not explicitly mention alternatives or when not to use this tool, leaving the guidance slightly less explicit than ideal.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral disclosure burden. It reveals that the pause occurs at the next JavaScript statement and that it is a request, but it does not mention prerequisites like an active session, side effects, or whether the tool blocks or resolves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is one short, grammatically clear sentence front-loaded with the action. No word is wasted, though it sacrifices information that would be necessary for full usability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a debugger control tool with two parameters and no annotations or output schema, the description is under-specified. It fails to explain parameter roles, required session context, or interaction with other debugger tools, making it incomplete for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description does not mention either sessionId or targetSessionId. An agent cannot infer what session these parameters refer to or how targetSessionId differs from sessionId.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Request a pause' and identifies the exact resource/action: the next JavaScript statement. It clearly differentiates from sibling tools like debugger_resume, debugger_step, and debugger_run_to_location by focusing on pausing.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives such as debugger_step or debugger_run_to_location. The description simply states the action, leaving the agent to infer when pausing is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description bears full responsibility for disclosing behavior. It fails to mention what happens if the debugger is not paused, whether the operation is reversible, or any side effects on execution state. This is a significant gap for a state-changing tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single direct sentence with no filler words. It is front-loaded and easy to parse, earning full marks for structural efficiency.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a debugger control tool with no annotations and two unannotated parameters, this description is too minimal. It lacks information about when to use the tool, what the parameters mean, and what outcome to expect, making it insufficient for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% for both parameters. The description does not explain the meaning of 'sessionId' or the ambiguous 'targetSessionId', leaving the agent to guess. Parameter names alone are insufficient, especially for 'targetSessionId'.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a clear verb ('Resume') and specific resource ('paused JavaScript debugger'), making the core action unambiguous. However, it does not explicitly differentiate itself from sibling tools like debugger_step or debugger_run_to_location, which also advance debugger state.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool vs. alternatives (e.g., 'Use when paused, not for stepping'). The description implies use on a paused debugger but does not state prerequisites or alternative scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only states the high-level action and does not mention whether the breakpoint is temporary or persistent, whether the debugger must already be paused, or what happens if the location is unreachable. This is a significant gap for a mutation-like debugging tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence that gets straight to the point. It contains no filler and effectively communicates the core action without unnecessary detail.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with five parameters, no annotations, and no output schema, the description is too sparse. It omits critical context such as breakpoint lifecycle, required debugger state, parameter specifics, and relationship to sibling tools. The description is not sufficient for an agent to confidently invoke the tool without additional information.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% description coverage and the description does not compensate by explaining parameters. It vaguely references a 'script location' which maps loosely to scriptId and lineNumber, but it does not explain sessionId, columnNumber, or targetSessionId. Given five parameters, the description adds minimal meaning beyond the schema's field names.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Set a breakpoint at a script location and resume execution' clearly states the tool's specific action: it combines setting a breakpoint with resuming execution to reach a source location. This distinguishes it from sibling tools like debugger_resume (which only resumes) and breakpoint (which only sets a breakpoint).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no explicit guidance on when to use this tool versus alternatives such as breakpoint, debugger_step, or debugger_resume. It only implies usage by describing the action, but there are no stated prerequisites, exclusions, or alternative recommendations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the burden of behavioral disclosure. It discloses one important behavior: 'Loading never silently recreates breakpoints,' which is valuable context. However, it does not mention other side effects, permission requirements, or what happens on save/export, leaving significant gaps in transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is just two sentences, front-loaded with the core action list. Every word earns its place, and the additional behavioral caveat is relevant and non-redundant.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has 4 parameters, no annotations, no output schema, and 0% schema coverage. The description is too brief to fill these gaps: it does not explain return values, side effects beyond the loading caveat, or the purpose of optional parameters. This is a moderately complex tool that needs a richer description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It names the actions (save, list, load, export) which map to the 'action' enum, but does not explain the meaning of 'name' or 'targetSessionId', nor how they relate to the session. This leaves half the parameters ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Save, list, load, or export in-memory debugger metadata for one Raw session.' It uses specific verbs and a specific resource, distinguishing it from sibling debugger tools like pause/step/evaluate, which operate on execution state rather than session metadata.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites, exclusions, or when a different debugger tool might be more appropriate. The only caveat ('Loading never silently recreates breakpoints') is a behavioral note, not usage guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action and precondition, but does not mention that stepping advances execution, may have side effects, or what happens if the session is not paused. No error conditions or state changes are disclosed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence of 8 words that front-loads the essential action. Every word earns its place with no redundant information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The tool has no output schema and no annotations, yet the description does not explain return values, failure modes, or the purpose of the optional targetSessionId parameter. This is insufficient for an agent to use it confidently in a debugging flow.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema description coverage is 0%. The description loosely maps to the 'direction' parameter by listing into/over/out, but it does not explain sessionId or the optional targetSessionId. It fails to compensate for the lack of parameter documentation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly specifies the action (step) with the exact directions (into, over, out) and the target (paused JavaScript frame). This distinguishes it from sibling tools like debugger_resume and debugger_run_to_location.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The phrase 'from a paused JavaScript frame' clearly indicates the required context for using this tool. However, it does not explicitly mention when not to use it or name alternatives such as resume or run-to-location, though these are implied by sibling names.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of behavioral transparency. It discloses the polling mechanism and timeout behavior, but fails to mention return values, whether the session must already be attached, or any side effects on event consumption. This leaves significant ambiguity for a tool with no annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single clear sentence that directly states the tool's purpose and termination conditions. It is front-loaded and avoids unnecessary words, earning a high score for conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with three parameters and no output schema, the description is severely underspecified. It omits parameter semantics, return value, prerequisites (e.g., an attached CDP session), and relationship to sibling tools, making it inadequate for reliable invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage, and the tool description does not mention any parameters (sessionId, timeoutMs, targetSessionId). The agent receives no explanation of what each parameter means or how they relate to the polling behavior, so the description adds no semantic value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: it polls raw CDP events until Debugger.paused is observed or timeout expires. The specific verb 'poll' and the target event distinguish it from sibling tools like debugger_pause (which triggers a pause) and debugger_get_paused_state (which reads current state).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage when the agent needs to block until a pause event occurs, but it does not explicitly mention when to use this over siblings or any prerequisites. No exclusions or alternative tool references are provided, so guidance is only implicit.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It only states the tool 'identifies' crypto, but does not disclose the output format, limitations (e.g., only common algorithms), whether it's static analysis, or any other behavioral characteristics.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that efficiently conveys the core purpose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with no annotations and no output schema, the description is too sparse. It does not explain the return value or provide any contextual detail about what the tool produces, making it incomplete for an agent to fully understand the tool's behavior.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'code' has no schema description. The description adds that the code should be JavaScript, which helps clarify the expected input. However, it doesn't elaborate on how the code should be provided (e.g., path vs. string) beyond the schema's 'string' type.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses the specific verb 'Identify' and clearly names the resource: common cryptographic algorithms and operations in supplied JavaScript. This distinguishes it well from sibling tools like crypto_test_harness or detect_obfuscation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It omits any context about use cases, prerequisites, or references to sibling tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.