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

With no annotations, the description carries the full burden. It discloses that it works only on local files/strings and does not contact external services, which is useful. It also mentions the canonical key-sorted stringify and line-oriented output, giving insight into the return format. However, it does not state whether the operation is read-only or if there are side effects, nor does it describe the exact structure of the diff output. Some behavior is disclosed, but not comprehensively.

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 very short—two sentences—and front-loads the core purpose. There is no redundant phrasing or fluff. However, the brevity comes at the cost of missing critical parameter details. For conciseness alone, it is appropriately sized, but the lack of essential information prevents a perfect score.

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 six parameters with zero schema descriptions, no output schema, and no annotations, the description is grossly incomplete. It does not explain how to provide input (text vs. file paths), what the jsonc flag does, how maxDiffs limits output, or what the returned diff looks like. An agent would have to guess or inspect the schema, which provides no clues. This is a minimal description for a tool that requires substantial 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 explain the parameters. It does not mention any of the six parameters (jsonc, leftText, maxDiffs, rightText, leftFilePath, rightFilePath) or their semantics. The description only says 'two JSON documents' without clarifying how they are specified (e.g., via text or file paths) or what maxDiffs and jsonc control. This is a severe 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 clearly states the tool's purpose: it diffs two JSON documents. It specifies the output format (canonical key-sorted stringify, line-oriented) and explicitly differentiates itself from sibling tools like validate_json, pretty_json, and json_get, which serve different functions. The verb 'Diff' is specific and 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 description provides a key constraint: 'Local files/strings only. Does not fetch URLs or contact external services.' This implicitly tells the agent when not to use this tool (for remote resources), but it does not explicitly state when to prefer it over alternatives or mention any exclusions. No sibling comparisons are made beyond the implicit scope, so usage guidance is partial.

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 discloses that the tool is local-only, reads rather than modifies, and has no external network interaction. It does not describe behavior when the path is missing or input is invalid, but for a simple getter this is a minor 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?

Two concise sentences convey the purpose, path syntax, accepted input sources, and key limitation. No filler 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?

For a low-complexity tool with no output schema, the description covers purpose, input scope, and safety-relevant behavior. It is complete enough for an agent to call it correctly, though edge-case behavior on missing paths or malformed JSON is not specified.

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 the schema already documents path, text, and filePath. The description adds 'jq-like' semantics and 'Local files/strings only,' which reinforces but does not substantially extend what the schema already 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?

The description states a specific verb ('Get'), a specific resource ('a value at a jq-like path'), and gives a concrete path example. This clearly distinguishes it from reading sibling tools like validate_json, json_set, pretty_json, and diff_json.

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 clear context: this tool reads values from local JSON/JSONC strings or files, and explicitly says it does not fetch URLs or contact external services. It does not explicitly name sibling tools as alternatives, but the extraction use case is obvious enough to guide 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?

With no annotations, the description carries the burden of behavioral disclosure. It does well by stating that it returns updated JSON, can optionally write a file, and never contacts external services. However, it is vague about whether the original file is modified and about the exact role of outputPath.

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 main operation, return behavior, output capability, and safety constraint are all included. It is front-loaded and 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?

The description covers the core operation and a key constraint, but it omits usage guidance against siblings, parameter clarifications for formatting options, and precise file-writing behavior. It is minimally adequate but not complete for a mutation tool with eight parameters 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 coverage is only 38%, so the description needs to compensate. It adds context for local text/file inputs and output writing, but it does not clarify key parameters such as indent, minify, outputPath behavior, or how value is interpreted beyond the schema's brief parseValue note. This is insufficient for an 8-parameter tool.

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?

Description states a specific verb and resource: set a value at a jq-like path, returning updated JSON. This clearly distinguishes it from sibling tools like json_get, pretty_json, and validate_json.

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 useful constraints (local files/strings only, no external fetching), but it does not explicitly say when to use this tool versus alternatives. There is no mention of using json_get for reads or validate_json for validation, so selection guidance is largely absent.

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 behavioral burden. It usefully discloses that the tool works only on local content and has no network side effects. However, it does not explain whether input is read and output is written to outputPath, what the function returns if no outputPath is given, or how it handles JSONC input, leaving meaningful behavioral 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 two short sentences with the action verb and main constraint front-loaded. Every word earns its place, and there is no filler or 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 no annotations, no output schema, and an undocumented outputPath parameter, the description omits essential invocation context: what outputPath does, what happens when it is omitted, and whether JSONC is fully supported. The local-only and no-network statements are helpful, but an agent still must guess about output handling.

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 already describes text and filePath clearly, and the description's 'Local files/strings only' adds little beyond that. More importantly, outputPath has no schema description and the tool description does not explain it at all, so one of three parameters remains semantically opaque.

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 ('Minify') and resource ('JSON to one line'), making the tool's core function immediately clear. The additional scope qualifier 'Local files/strings only' differentiates it from any tool that might fetch remote content, and clearly separates it from siblings like validate_json or pretty_json.

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 a clear usage boundary: local files/strings only and explicitly no URL fetching or external service contact. It does not name sibling alternatives or state when to choose this over pretty_json or validate_json, so it lacks explicit alternative routing, but the context is solid.

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 transparency burden. It adds a meaningful boundary by stating it never contacts external services and only handles local input. But it does not disclose outputPath side effects, return behavior, or error handling.

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 no filler. The core operation is front-loaded, and the local-only/no-network caveat immediately follows. 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?

There is no output schema or annotations, and the description does not say what the tool returns, whether it writes to outputPath, or how invalid JSON is handled. For a tool with four parameters, this leaves too much to inference.

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 50%, and the description does not compensate. It does not explain the meaning of indent units/defaults or outputPath behavior, which are left undocumented in both the schema and 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 clearly states the operation: 'Pretty-print JSON with indentation.' This distinguishes it from validation, extraction, and minification tools, though it does not explicitly contrast with siblings like minify_json.

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 useful context: local files/strings only, and it does not fetch URLs or contact external services. However, it does not name alternative tools such as minify_json or explain when text vs filePath should be preferred.

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 behavioral burden. It explicitly discloses a key behavioral trait: the tool operates only on local files/strings and does not contact external services. This is valuable context for security and reliability expectations, though it does not describe output format or error 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 filler. The core purpose is front-loaded, and the important local-only constraint is stated clearly and immediately.

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 5 parameters, no annotations, no output schema, and zero schema coverage, the description is not complete enough for correct invocation. It fails to explain how to provide data/schema, the meaning of jsonc, or whether inputs are mutually exclusive, leaving critical ambiguities.

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 undocumented parameters. It does not explain parameters like jsonc, dataText, schemaText, dataFilePath, or schemaFilePath, nor any required combinations. The parameter names are somewhat self-evident, but the description adds no mapping or usage detail.

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: 'Validate JSON data against a JSON Schema using Ajv.' This specific verb-resource combination distinguishes it from sibling tools like validate_json and validate_jsonc, which appear to validate JSON syntax rather than against 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?

The description provides clear context: 'Local files/strings only. Does not fetch URLs or contact external services.' This gives an explicit when-not boundary, though it does not name alternative tools or provide direct comparison to siblings.

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 that the tool operates only on local files/strings and does not make external calls, which is useful. However, it does not disclose what happens on successful validation (e.g., returns a boolean, throws an error, returns parsed JSON) or the behavior when neither/both parameters are provided. This missing behavioral detail is significant for a validation tool without an output 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 concise and front-loaded. It opens with the core purpose, then adds scope and constraints in short, clear sentences. There is no fluff 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?

Given the tool's simplicity (2 optional params, no output schema), the description covers the main constraints (local-only, no external calls, strict JSON). However, it lacks critical details: it does not specify whether text and filePath are mutually exclusive, what the return value is (boolean, parsed object, error), or error handling. An agent may not know how to interpret the result or whether to provide one input or both. This incompleteness could lead to misuse.

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 100% (both parameters have descriptions), so the baseline is 3. The description adds the qualifier 'strict JSON' and 'Local files/strings only,' which clarifies the expected input format. However, it introduces a potential conflict: the schema says 'JSON/JSONC' while the description says 'strict JSON,' which might confuse the agent about whether JSONC is acceptable. The description does not resolve this ambiguity, so it adds limited 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 the tool's purpose: 'Parse and validate strict JSON.' It identifies the specific resource (JSON) and the action (validate). The phrase 'strict JSON' distinguishes it from validate_jsonc, and 'Local files/strings only' adds a scope that differentiates it from tools that might fetch remote content. It is specific and 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 description provides clear context: it only handles local files/strings and explicitly states it does not fetch URLs or contact external services. This tells the agent when this tool is appropriate (local data) and implicitly when it is not (remote data). However, it does not explicitly name alternatives like validate_jsonc for JSONC or schema_validate for schema validation, so it lacks explicit when-not-to-use 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 that it parses and validates, and mentions local-only constraints. It does not disclose what happens on invalid input (e.g., throws error vs. returns a boolean), the return format, or whether any side effects occur. This is a significant gap for a validation 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 concise sentences, front-loaded with the core purpose and followed by constraints. Every word adds value; no redundancy or 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 description covers what the tool does and its input constraints, but lacks information about output behavior (e.g., return type, error handling). Since there is no output schema, the description should at least hint at what 'validate' means in terms of results. The local-only and no-external-service constraints are helpful, but the lack of output details leaves the definition incomplete for an agent to fully anticipate 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 input schema already provides 100% coverage with descriptions for both parameters (text and filePath). The description adds the 'local only' constraint but does not elaborate on format, precedence, or how parameters interact. Since schema coverage is high, the baseline of 3 is appropriate; the description adds minimal extra 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 parses JSONC (including comments and trailing commas) and validates it, which is a specific verb+resource. It distinguishes itself from sibling validate_json by explicitly targeting JSONC, and from schema_validate by focusing on syntax rather than schema compliance.

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 provides clear constraints: only local files/strings, and explicitly notes it does not fetch URLs or contact external services. This helps an agent decide when to use it, but it does not explicitly mention alternatives like validate_json for plain JSON or schema_validate for schema-based validation.

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