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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so safety is covered. The description adds meaningful behavioral context beyond them: the matching rule (issues whose body or title references the PR number), which tells the agent exactly how results are derived and why an issue appears.

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?

Two tight sentences with the subject and scope front-loaded and no filler; the matching criterion is packed into a parenthetical rather than a separate sentence.

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-param, read-only lookup with no output schema, the description is nearly complete: it conveys scope, matching logic, and the return shape ('list ... issues'). Only minor gaps remain, such as whether an empty result is possible and what fields each issue carries.

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 coverage is 100% and the single pr_number parameter is already documented with its repo context. The description only restates that it's one Canton Dev Fund proposal PR, adding location context but no format or edge-case semantics beyond the schema. Baseline 3 applies.

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?

States a specific verb (list) and resource (related milestone tracking issues) scoped to one Canton Dev Fund proposal PR, which is far more precise than generic siblings like get_issue_status or search_github_issues. It doesn't explicitly name an alternative sibling, so it falls short of a 5.

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 'For one Canton Dev Fund proposal PR' framing implies the use case, but it never says when to prefer this over search_github_issues or get_issue_status, nor any exclusions. Usage is implied rather than stated.

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