estimate_codebase

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

With no annotations, the description carries full behavioral disclosure responsibility. It explicitly states that the tool 'clones a git repository' and analyzes its structure, which is a key side effect. It also discloses error conditions via the Raises section. It does not mention cleanup of the cloned repo or performance implications, which would be additional useful context, but the core behavior is transparent.

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 well-structured with a summary, detailed items, and sections for Args, Returns, and Raises. The opening sentence is a clear one-liner, and the rest provides necessary detail without repetition. Every section serves a purpose, and the document is not overly verbose.

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 tool has moderate complexity (cloning, analysis, return format) and no output schema or annotations. The description covers the main aspects: purpose, parameters, return format, and error handling. It lacks a few contextual details such as whether the clone is temporary or if network/git availability is required, but it is sufficiently complete for most agent 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 schema descriptions are absent (0% coverage), so the description must compensate. It fully explains both parameters: repo_url is the Git repository URL to clone, and use_token indicates whether to use GitLab token authentication (default True). This provides clear meaning beyond the plain schema types and is crucial for correct invocation.

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 statistics about a Git repository without downloading all content.' It specifies the resource (Git repository) and the output (statistics like token count, file count, and structure), distinguishing it from sibling tools like get_codebase (which presumably retrieves content). The verb 'Get' plus the listed outputs make the purpose 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 for when to use the tool: when statistical information about a repository is needed for LLM processing. The phrase 'without downloading all content' hints at a contrast with tools that download content, implying this is for lightweight analysis. However, it does not explicitly name alternatives or state when not to use it, so it falls short of a perfect 5.

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