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 states the basic creation intent but does not disclose whether existing files are overwritten, whether parent directories are created, what happens on conflict, or any 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?

The description is one short sentence with no filler and gets to the point immediately. It could be slightly more informative while staying concise, but it is not bloated.

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 a similarly named sibling (write_file), the description needs to clarify overwrite behavior, error cases, and path semantics to be safely invocable. It currently leaves important operational details unspecified.

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 documents both parameters with 100% coverage, so the baseline is 3. The description adds little beyond the schema—'given contents' maps to the content parameter, but it does not clarify path handling, formatting, or interaction between the two 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 uses a specific verb-resource pair ('Create a new file') and mentions the contents, making it clear this is a file-creation action. However, it does not differentiate from the sibling write_file, which may perform a similar or overlapping 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?

There is no guidance on when to use this tool versus alternatives such as write_file or delete_file. No exclusions, prerequisites, or selection criteria are provided, leaving the agent to infer appropriate 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 of behavioral disclosure, but it only restates the operation. It never states whether queries can write or delete data, whether results are returned, whether multi-statement SQL is allowed, or whether there are side effects and guardrails.

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 short and readable, but it is under-specified rather than deliberately concise. The single sentence essentially rewraps the tool name and leaves out important safety and usage context that should be present.

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 that executes arbitrary SQL, with no annotations and no output schema, the description is incomplete. An agent would have to guess what the tool returns, whether the query may mutate data, and what precautions are needed.

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 the query and database parameters. The description adds no meaningful semantic detail beyond what the schema already provides, so 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 clear action (execute) and resource (SQL query against the application database), so an agent can identify what the tool does. It does not explicitly contrast with execute_code or other siblings, but 'SQL query' makes the domain 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?

It gives no indication of when to choose database_query over execute_code or other alternatives, nor any conditions or constraints such as read-only usage, database selection behavior, or safe query patterns. Usage context must be inferred from the name and 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says the file is deleted; it does not mention that deletion is likely permanent, what happens if the path does not exist, whether directories are supported, or whether any recovery is possible. For a destructive tool this is a significant 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?

The description is seven words, front-loaded with the action, and contains no filler or redundant information. It is appropriately minimal for a one-parameter 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?

For a simple single-parameter tool this is minimally adequate, but because it is destructive and has no annotations or output schema, an agent would benefit from knowing whether deletion is irreversible, whether recursion or directory deletion is supported, and what error behavior to expect. The description only covers the happy path.

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 the 'path' parameter. The description adds minimal semantic value beyond the schema, only reinforcing that the path refers to a file on the filesystem. Baseline 3 is appropriate.

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 action ('Delete'), a specific resource ('file'), and a clear scope ('filesystem'). It is immediately distinguishable from sibling tools like read_file, write_file, and list_directory.

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 purpose implicitly indicates when to use the tool: when a file needs to be removed. However, there is no explicit guidance on when not to use it, no mention of alternatives, and no conditions such as requiring confirmation or checking for directory deletion.

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?

The description discloses that execution occurs in a sandboxed environment, which is a key safety trait, and that output is returned. However, with no annotations provided, the description bears full burden and does not cover error handling, side effects, or resource limits, leaving gaps 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 a single, front-loaded sentence with no redundant words. It efficiently communicates the core action and expected result.

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 code execution tool with no annotations and no output schema, the description is too sparse. It omits crucial details such as error behavior, timeouts, environment persistence, or network access, which an agent would need to invoke it correctly and safely.

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% for both parameters, and the description adds no additional semantic detail beyond what the schema already states. Baseline of 3 applies since the description does not enhance parameter understanding.

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 verb 'Execute', the resource 'code', and the environment 'sandboxed', which distinguishes it from siblings like read_file or write_file. It precisely conveys the tool's function without ambiguity.

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 running code but does not explicitly contrast it with alternatives or state when not to use it. Given the unique role among siblings, the usage is implied rather than explicitly guided.

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 present, so the description must carry the behavioral burden. The word 'Retrieve' indicates a read operation, but the description does not disclose error behavior, required authorization, or what profile data is returned, leaving substantial room for inference.

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 verb. The only minor issue is that 'profile data' is somewhat redundant with 'user account information', but otherwise 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?

For a one-parameter read-only tool with no output schema, the description is minimally adequate: it states the action and resource but does not describe the structure of the returned data or any edge cases. Given the absence of annotations, a bit more context would improve completeness.

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 covers 100% of the parameter and even documents the special value 'me', so the schema already handles parameter semantics. The description adds nothing beyond what the schema provides, so the baseline score 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 uses a specific verb ('Retrieve') and names a clear resource ('user account information and profile data'), making the tool's basic function identifiable. It is implicitly distinct from all listed siblings, which are file, search, email, and database operations, though 'profile data' is slightly 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 implies the tool should be used when user account information is needed, but it provides no explicit when-to-use guidance or exclusions. Since none of the sibling tools are close alternatives, the implicit context is acceptable but not fully 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 must carry the behavioral disclosure burden. It only states that the tool lists entries; it does not disclose whether it is non-recursive, whether hidden files are included, what happens with invalid paths, or the exact return shape. These gaps matter because there is no 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 a single, front-loaded sentence with no filler or redundant wording. It communicates the core action and resource 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?

For a simple one-parameter tool, the description plus schema is mostly sufficient, but it omits behavioral details such as whether the listing is top-level only, whether hidden files appear, and how it differs from the 'list_files' sibling. The lack of an output schema makes those details more relevant.

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 fully describes the single 'path' parameter with a default and explanation (100% coverage). The description adds no additional semantics beyond echoing 'at a given path', so the baseline score of 3 is appropriate.

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 names a specific verb and resource: 'List the files and directories at a given path.' It is understandable and not tautological, but it does not explicitly differentiate itself from the closely named sibling 'list_files', so it misses the top 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?

There is no guidance about when to prefer this tool over alternatives such as 'list_files', nor any mention of when not to use it. The intended use is only implied by the verb 'List' and the tool name, so the agent is left 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action and filter, but does not mention whether the listing includes directories, whether it is recursive, what the return format is, or any side effects. This is minimal disclosure for a tool that could have significant behavioral nuances.

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 short sentence, which is concise and front-loaded. However, it is so brief that it omits useful context that could be added without bloating the description, such as the difference from 'list_directory' or the output format. It is concise but under-informative.

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 simplicity of the tool and full schema coverage, the description is minimally adequate, but it lacks critical context such as whether it lists only files or also directories, whether it is recursive, and how it differs from the sibling 'list_directory'. With no annotations and no output schema, the description should carry more weight to ensure correct 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?

The input schema fully describes both parameters ('path' and 'pattern') with clear descriptions and a default for 'path'. The description merely restates the schema's concepts ('path or pattern') without adding extra meaning such as syntax, constraints, or examples, so it 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 states a clear verb ('List') and resource ('files') with a filtering condition ('matching a path or pattern'). It is concise and unambiguous about the tool's function, though it does not explicitly differentiate from the sibling tool 'list_directory', which may overlap in function.

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 like 'list_directory' or 'read_file'. There are no stated exclusions or conditions that would help an agent choose this tool over its 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?

No annotations are present, so the description must carry the full behavioral burden. It confirms the operation is a read, but does not disclose return format, behavior for missing files, permission requirements, or any other execution characteristics. This is a real gap for an unannotated 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 clear sentence with no filler; the core action and target are front-loaded. It could not be meaningfully shorter 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 two-parameter read tool with no output schema and no annotations, the description is borderline sufficient, but it omits return format and error behavior. It also gives no cross-tool routing, leaving some gaps for an agent to infer.

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 path and encoding are already documented. The description adds no parameter-level meaning, which is acceptable; 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 uses a specific verb ('Read') and resource ('file'), and specifies that it returns the file's contents, which distinguishes it from list_files/list_directory. It doesn't explicitly call out sibling write/delete tools, so it misses full sibling 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?

No guidance is given about when to prefer read_file over sibling tools like list_files, list_directory, or write_file, nor any context about read-only workflows. The intended use is only implied by the verb.

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 conveys the external side effect of sending an email, but says nothing about authentication requirements, delivery guarantees, irreversibility, or failure behavior. This is minimal disclosure for a side-effecting 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 clear sentence with no filler or redundancy. It is front-loaded with the core action and resource, making it easy to parse quickly.

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 four-parameter tool, the schema covers the parameters and the description states the core operation. However, because there is no output schema and no annotations, a bit more context about sending behavior, limitations, or results would make the definition more 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 input schema has 100% description coverage for all four parameters, so the schema already documents each parameter clearly. The description adds no additional parameter-level meaning beyond what the schema provides, so the baseline score 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 ('send') and resource ('email') with a recipient, making the tool's purpose immediately clear. It is also easily distinguishable from all sibling tools, none of which are email-related.

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—whenever an email needs to be sent—but it does not explicitly provide when-not-to-use conditions or name alternatives. Confusion is unlikely due to the unrelated sibling list, but the guidance is only implied, not 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?

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not specify whether the operation is read-only, what format results take, whether rate limits apply, or how it handles empty or malformed queries. The phrase 'relevant results' is vague and does not define the result structure.

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 leads with the verb and resource. There is no extraneous information, so it is efficient; however, the brevity also means it omits potentially useful usage context.

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 output schema and no annotations, the description provides a minimal but functional summary. It does not explain the return value structure or any edge-case behavior, which an agent would need to correctly parse or handle results. It is adequate for basic invocation but incomplete for richer interaction.

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%, so both parameters are documented in the input schema. The description adds no parameter-specific meaning beyond what the schema states, such as how num_results affects pagination or result ordering. The baseline 3 applies because the schema handles parameter semantics adequately.

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 verb ('Search') and resource ('web') with an outcome ('return relevant results'). It is distinct from siblings like database_query or read_file, though it does not explicitly name an alternative. The purpose is understandable but generic.

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, such as database_query for structured data or get_user_info for user-specific information. There is no mention of exclusions, prerequisites, or when to prefer a different tool.

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 states 'overwrite' which implies a destructive write, but it does not clarify whether the tool creates the file if it does not exist, whether it appends or truncates, or what happens on error. The behavior is only partially 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, front-loaded sentence with no wasted words. It is appropriately concise, though it could include a bit more context without becoming verbose. The brevity is a strength, but it sacrifices necessary 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?

Given the absence of annotations and output schema, and the ambiguity with the sibling create_file, the description is incomplete. It does not explain the tool's role relative to create_file, nor does it disclose edge-case behavior. An agent cannot fully determine correct usage from this 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?

The input schema fully describes both parameters (path and content) with 100% coverage, so the baseline is 3. The description adds no extra meaning about path formats, content encoding, or special characters, but since the schema already covers the essentials, the description does not need to compensate.

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: 'Write or overwrite the contents of a file.' This identifies the verb and resource, and it is distinct from read_file and delete_file. However, it does not differentiate from the sibling create_file, so it is not fully distinguishing.

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 write_file versus create_file or other alternatives. It does not mention conditions such as 'use when the file already exists' or 'use when you need to replace content.' The agent is left to infer usage from the tool name alone.

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