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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds one genuine behavioral trait - that it reads the latest *successful* analysis, implying failed runs are skipped - and enumerates return contents, which matters since no output schema exists; but it says nothing about error behavior when no successful analysis exists or about volume of findings.

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?

A single sentence with no filler, front-loaded with the most valuable information (what the caller gets back). It is a verbless noun phrase, so the reader must map it to the tool name to confirm it is a retrieval operation, but nothing is wasted.

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?

With no output schema, the description correctly carries the burden of describing return contents, and it does so in detail; parameter semantics are fully covered by the schema and safety by annotations. The remaining gap is edge-case behavior (no successful analysis yet, how findings are bounded), which keeps it short of a 5.

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 100% and both parameters are fully documented in the schema, including the runId default behavior and project identifier formats. The description adds no meaning beyond that, so the 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?

The description enumerates the concrete payload (overall score, per-category scores, findings by category and severity, skipped checks) scoped to a project's latest successful analysis, which is far more specific than the title 'Get a report'. However, it never distinguishes this aggregate view from siblings like get_findings or get_scoring, which cover overlapping subsets.

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?

There is no explicit when-to-use guidance, no statement of when NOT to use it, and no pointer to the sibling tools that return the narrower pieces (findings alone, scores alone). The only implied guidance is the default scope of 'latest successful analysis', which the schema already states.

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