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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds genuinely useful behavior beyond that: the analysis is computed from the repository graph 'without a language model', it uses history from the default branch regardless of `branch`, and it names the shape of the output (risk assessment).

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?

Front-loaded with what the tool does and why it matters, and every sentence carries information (purpose, params, output, computation model). The parameter sentence is somewhat crammed, mixing URL format, query semantics and the branch caveat into one long clause.

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 3-parameter read-only analysis tool with an output schema and full annotation coverage, this is complete: input formats, the ignored `branch` caveat, the non-LLM computation, and the kind of result returned are all stated. Nothing needed to call it correctly is missing.

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 carry the parameter burden and does: `repo_url` format is given as https://github.com/<owner>/<repository>, `query` is plain-language description of the change, and `branch` is explained as accepted for compatibility only with the default branch used in practice. That is exactly the non-obvious semantics an agent needs.

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?

Specific verb (estimates impact) and resource (a described code change on an already-imported GitHub repository), stated in the first sentence. The 'imported' qualifier implicitly separates it from the sibling hokmah_connect_project, which is what would bring the repository in.

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 prerequisite that the repository must already be imported is implied but hokmah_connect_project is never named, and there is no explicit 'use this when / not when'. Usage is inferable from context rather than spelled out.

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