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. While it states the tool gets file content, it doesn't describe important behavioral traits such as authentication requirements, rate limits, error handling (e.g., for non-existent files), response format, or whether it's read-only. The description is minimal and lacks critical operational context.

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 appropriately sized and front-loaded: the first sentence clearly states the purpose, followed by a structured Args section. There's minimal waste, though the Args formatting could be more integrated. It efficiently conveys key information without unnecessary elaboration.

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 complexity (4 parameters, no annotations, no output schema), the description is incomplete. It lacks details on authentication, error handling, response format, and usage context relative to siblings. For a tool that interacts with external APIs and has multiple parameters, more comprehensive guidance is needed to ensure correct agent 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%, so the description must compensate. It lists parameters (owner, repo, file_paths, branch) with brief explanations in the Args section, adding meaning beyond the bare schema. However, it doesn't provide detailed semantics like format examples (e.g., file_paths as array of strings), constraints, or default behaviors beyond 'Optional branch name (default: None)'. This partial compensation justifies a baseline score.

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 the content of specific files from a GitHub repository.' This specifies the verb ('Get'), resource ('content of specific files'), and context ('from a GitHub repository'). However, it doesn't explicitly differentiate from sibling tools like git_summary or git_tree, which might provide summaries or directory structures rather than file contents.

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 (git_summary, git_tree) or explain scenarios where this tool is preferred over others. The only implied usage is retrieving file contents, but no explicit context or exclusions are 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?

With no annotations provided, the description carries full burden for behavioral disclosure. While it states what information will be returned, it doesn't describe important behavioral aspects: whether this requires authentication, rate limits, what happens with invalid inputs, whether it's a read-only operation, or how the token count is calculated. The description provides output content but lacks operational context.

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 reasonably concise and well-structured with a clear purpose statement followed by bullet points of what's included and an Args section. The bullet points could be more efficiently formatted, but overall the description avoids unnecessary verbiage and gets to the point 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 tool with 3 parameters, 0% schema description coverage, no annotations, and no output schema, the description is incomplete. It explains what the tool returns but doesn't cover important operational aspects: authentication requirements, error handling, rate limits, or detailed parameter expectations. The lack of output schema means the description should ideally explain the return format more thoroughly.

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?

With 0% schema description coverage, the description must compensate but only partially succeeds. It explains the three parameters (owner, repo, branch) and provides some context about branch being optional with a default of None. However, it doesn't explain what format owner/repo should be in, what happens if branch doesn't exist, or provide examples. The description adds basic meaning but leaves significant gaps given the low 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 tool's purpose: 'Get a summary of a GitHub repository' with specific components listed (repo name, files, token count, README summary). It uses a specific verb ('Get') and resource ('GitHub repository'), but doesn't explicitly differentiate from sibling tools git_files and git_tree, which likely provide different types of repository information.

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 the sibling tools git_files and git_tree. It mentions the tool's function but gives no context about when this summary tool is preferable to more specialized tools for files or tree structure. There's no mention of prerequisites, limitations, 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?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action ('Get') but doesn't mention permissions, rate limits, error handling, or what the tree structure output entails (e.g., format, depth). This leaves significant gaps for a tool interacting with an external API like GitHub.

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 appropriately sized and front-loaded, with a clear purpose statement followed by parameter explanations. It avoids unnecessary fluff, though the parameter section could be more integrated into the flow rather than a separate 'Args:' block.

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 complexity of a GitHub API tool with no annotations and no output schema, the description is incomplete. It doesn't explain what the tree structure includes (e.g., files, directories), how it's formatted, or potential errors. For a tool with 3 parameters and external dependencies, more context is needed to ensure reliable 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 0%, so the description must compensate. It adds meaning by explaining 'owner' as 'GitHub organization or username', 'repo' as 'repository name', and 'branch' as 'Optional branch name (default: None)', which clarifies semantics beyond the schema's bare titles. However, it doesn't detail constraints or examples, leaving some ambiguity.

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 ('Get') and resource ('tree structure of a GitHub repository'), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'git_files' or 'git_summary', which likely serve related but distinct purposes.

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 'git_files' or 'git_summary'. It lacks context about what scenarios warrant retrieving a tree structure versus other repository information, leaving the agent with no usage differentiation.

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