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

Beyond the annotations (readOnly/idempotent/non-destructive), it discloses that computation is deterministic with no AI call, nothing written, and no risk run started, and it enumerates the partial-result contract: each section is either populated or available=false with one of the specific reasons (no baseline, no milestones, cost not readable, no earned value data, no tasks, no risk run, risk runs not on the plan). It also identifies the status date the report reads as of, which is essential behavioral context for interpreting freshness.

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 purpose is front-loaded in the first clause and the dense parenthetical lists of section contents earn their space by telling the agent what will be present. The trailing fragments ('The same report the project menu downloads as a PDF.' and especially 'Every plan.') are abrupt and 'Every plan.' is cryptic rather than informative.

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 and only one parameter, the description carries the return-value burden and does so thoroughly by describing each section's contents and the missing-data semantics. What remains unstated is the payload's actual shape (field names, nesting), so an agent knows what the report contains but not precisely how it is keyed.

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?

There is a single required parameter, projectId, with 100% schema description coverage ('ID of the project to report on'), so the schema already carries parameter meaning. The description adds nothing further about the parameter, which is acceptable at this coverage level but not additive.

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 states a concrete deliverable — a monthly schedule narrative report — and enumerates all six sections (progress, critical path, milestones, EVM, DCMA, P50/P80) plus the status date, so the agent knows exactly what comes back. It does not name or contrast itself with near-siblings like generate_status_report, compose_evm_narrative, or critical_path_narrative, so differentiation is only implicit through the 'all six sections' framing.

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 report a scheduler attaches to a schedule update' and the terse 'Every plan.' set a context (periodic project reporting for any plan) but give no explicit when-to-use versus when-to-pick-another-tool rules. No exclusions or alternatives are named, leaving the agent to infer which sibling narrative tool fits a given request.

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