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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds real behavioral context beyond that: the fixed 24-hour lookback window and the specific data families returned, which matters since there is no output schema.

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?

One sentence, front-loaded with the verb and resource, with the enumerated contents and time window packed in without filler. Every clause contributes information.

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 one-parameter read tool with full annotation coverage, the description is nearly complete: it names the time window and the returned data, compensating for the absent output schema. The only minor gap is that units or aggregation semantics for latency percentiles are not specified.

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 single parameter (project_id) is fully documented in the schema with a pattern constraint, so the schema carries the load. The description only implies that the id names a DenkOps project and adds no syntax, format, or scope details beyond that.

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 gives a specific verb ('Get') and resource ('a DenkOps project's request metrics') and enumerates the payload: latency percentiles, error rate, latest resource sample, rejected-request count. It is clear enough to distinguish from list-style siblings, though it does not explicitly contrast with near neighbours like get_status or get_trace.

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?

Usage is only implied: the metrics content and the 'last 24h' window suggest this is the tool for checking project performance and health. There is no statement about when to prefer it over get_status, get_trace, or get_workspace_overview, and no prerequisites or exclusions are given.

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