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 tool 'Get[s] documentation content,' implying a read-only operation, but does not cover aspects like authentication needs, rate limits, error handling, or response format. For a tool with no annotations, this leaves significant 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 a single, efficient sentence that directly states the tool's purpose without unnecessary words. It is front-loaded with the core action and resource, making it easy to parse and understand 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?

Given the tool's moderate complexity (4 parameters, no output schema, no annotations), the description is minimally adequate. It covers the basic purpose but lacks details on behavioral traits, usage guidelines, and output expectations, which are important for effective tool invocation by 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?

The schema description coverage is 100%, so the schema already documents all parameters (crate_name, item_type, item_path, version). The description adds minimal value by listing item types (e.g., 'module, struct, trait, enum, function, etc.') and implying retrieval scope, but does not provide additional syntax or usage details beyond what the schema offers, aligning with the baseline for high 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 clearly states the tool's purpose: 'Get documentation content of a specific item (module, struct, trait, enum, function, etc.) within a crate.' It specifies the verb ('Get'), resource ('documentation content'), and scope ('within a crate'), but does not explicitly differentiate it from sibling tools like docs_rs_search_in_crate, which might search within a crate rather than retrieve specific item documentation.

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 sibling tools such as docs_rs_search_in_crate or docs_rs_search_crates, nor does it specify prerequisites, exclusions, or contexts for usage, leaving the agent to infer based on tool names 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 provided, the description carries the full burden of behavioral disclosure. It states the action ('Get README/overview content') but doesn't add context such as whether this is a read-only operation, if it requires authentication, rate limits, error handling, or what the output format might be. For a tool with zero annotation coverage, this is a significant gap 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 a single, efficient sentence: 'Get README/overview content of the specified crate.' It is front-loaded with the core purpose, has zero wasted words, and is appropriately sized for the tool's complexity, 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?

Given the tool's low complexity (2 parameters, no output schema, no annotations), the description is minimally adequate. It states the purpose but lacks details on behavior, usage context, and output. Without annotations or an output schema, the description should do more to compensate, but it only meets the bare minimum for a simple read 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?

The schema description coverage is 100%, with clear descriptions for both parameters ('crate_name' and 'version'). The description adds no additional meaning beyond what the schema provides, such as format details or examples. Given the high schema coverage, the baseline score of 3 is appropriate, as the schema does the heavy lifting for 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 states the tool's purpose: 'Get README/overview content of the specified crate.' It specifies the verb ('Get') and resource ('README/overview content'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'docs_rs_get_item' or 'docs_rs_search_in_crate', which might also retrieve documentation content, so it doesn't reach the highest 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. It doesn't mention sibling tools like 'docs_rs_get_item' or 'docs_rs_search_crates', nor does it specify contexts or exclusions for usage. This lack of comparative information leaves the agent without clear direction for tool 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 full burden. It states the tool searches for crates but doesn't disclose behavioral traits such as rate limits, authentication needs, error handling, or what the response format looks like (e.g., pagination, result structure). This is a significant gap for a search tool with no annotation coverage.

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, efficient sentence with zero waste, clearly front-loading the purpose. It's appropriately sized for a straightforward search tool, making every word count.

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 (search with three parameters) and no output schema, the description is minimally adequate but incomplete. It covers the basic purpose but lacks details on behavior, output, or integration with siblings, leaving gaps that could hinder effective agent use.

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 all parameters (query, per_page, sort) with details like defaults and constraints. The description adds no additional meaning beyond what's in the schema, such as examples or usage tips, meeting the baseline for high schema 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 clearly states the action ('Search for Rust crates') and the resource ('on crates.io'), with a specific verb+resource combination. It distinguishes from sibling tools like 'docs_rs_search_in_crate' by specifying the scope is crates rather than within a crate, but could be more explicit about this 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?

The description implies usage for finding crates by keywords, but lacks explicit guidance on when to use this tool versus alternatives like 'docs_rs_get_item' or 'docs_rs_search_in_crate'. No exclusions or prerequisites are mentioned, leaving usage context somewhat vague.

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 mentions the source ('from the crate's all.html page') which adds useful context about where the search is performed, but doesn't disclose behavioral aspects like rate limits, authentication needs, pagination, or what happens when no results are found. The description is neutral about mutation/safety but doesn't explicitly state it's read-only.

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 perfectly concise with two sentences that each serve a clear purpose: the first states what the tool does, and the second provides crucial sibling differentiation. There's zero wasted language and it's front-loaded with the core functionality.

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 (search operation with 4 parameters), 100% schema coverage, and no output schema, the description provides good contextual completeness. It clearly states the purpose and sibling differentiation, though it could benefit from mentioning what the search returns (e.g., list of matching items) since there's 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 100%, so the schema already documents all four parameters thoroughly. The description doesn't add any parameter-specific details beyond what's in the schema (like explaining search semantics or item_type usage). It meets the baseline for high schema coverage but doesn't 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 specific action ('Search for traits, structs, methods, etc.') and resource ('from the crate's all.html page'), with explicit differentiation from the sibling tool docs_rs_get_item. It uses precise terminology that distinguishes it from other search tools like docs_rs_search_crates.

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 explicit guidance on when to use this tool versus alternatives: 'To get a module, use docs_rs_get_item instead.' This clearly delineates the boundary between searching within a crate versus retrieving specific module items, though it doesn't mention docs_rs_search_crates or docs_rs_readme.

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