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

No annotations are provided, so the description carries the behavioral burden. It adds the useful constraint that repo_name must be exact and provides an example, but it does not disclose error behavior, access requirements, or any edge cases. This is minimal but acceptable for a simple read 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?

The description is very short, front-loaded with the core purpose, and includes a compact parameter explanation. Every sentence earns its place with 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 single-parameter tool with an output schema, the description is adequate but not fully complete. It lacks sibling-routing guidance and behavioral caveats, though these are less critical given the tool's simplicity.

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 explains that repo_name means the exact repository name and gives a concrete example, adding value beyond the schema's plain 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 states a specific verb and resource: fetching the README content of a specific repository. This clearly distinguishes the tool from the sibling search_repos and list_repos tools, which operate on repo discovery/listing rather than README retrieval.

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 instead of search_repos or list_repos, and does not mention any prerequisites or exclusions. An agent must infer that this is for retrieving READMEs from already-known repositories.

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 carries the full burden. It does disclose the operational scope (only public repos), the resource owner (the GitHub account), and the returned content (names and descriptions). However, it does not mention authentication requirements, pagination, rate limits, or ordering, which are relevant for a listing endpoint.

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 with no filler or redundant information. It front-loads the action and resource, making it easy for an agent to understand the tool 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 parameterless list tool with an output schema and simple sibling context, the description is largely complete. It states the scope, subject, and included fields. It could slightly improve by noting that this is a read-only operation and whether the public-repo scope is the only intended use case.

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 has zero parameters and the schema description coverage is 100%, so there are no parameters to document. The description adds meaningful context about what the result will include, which is sufficient for a parameterless 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?

The description states a specific action ('가져옵니다' fetches) and a specific resource: all public repositories in the user's GitHub account, with names and descriptions. This clearly differentiates the tool from siblings like search_repos, which searches across repositories rather than listing the account's own public repos.

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 is for listing the authenticated user's public repositories, but it does not explicitly state when to prefer this over search_repos or get_readme. There is no exclusionary guidance or mention of alternatives, so usage context is only implied rather than directed.

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 the behavior (searching and returning matching repos) and indicates a read-only action. However, it does not mention potential side effects, return format, or error cases, though these are not critical for a search 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 concise and focused, containing only the essential information: the tool's purpose and the parameter definition. No unnecessary words or redundant details.

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 search tool, the description provides sufficient context: it specifies what is searched (repo names and descriptions) and what the keyword is. No additional context needed for 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 description explicitly defines the 'keyword' parameter as the search term, which adds meaning beyond the bare schema type. Since the parameter coverage is 100% and the description enriches it, a score above baseline is warranted.

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: searching repository names and descriptions by keyword. It is specific and distinct from sibling tools (list_repos lists all repos, get_readme fetches a specific repo's readme).

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 does not explicitly mention when to use this tool versus alternatives like list_repos or get_readme. The intent is implied but not stated, leaving some ambiguity for the agent.

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