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

Annotations already cover readOnlyHint=true and destructiveHint=false, so the read-only nature is established. The description adds useful context with 'End-of-day' timing and details on data elements (IG/BBB/B/HY spreads, 20/60-day deltas, 3-year percentiles). It does not disclose potential limitations or data freshness beyond 'End-of-day', but it does add value beyond the annotations.

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 description is a single dense sentence but packs substantial information without filler. It front-loads the tool's identity ('Closelook’s AI Credit Stress Tape') and then lists the data components. It is efficient, though slightly run-on and could benefit from sentence breaks for readability.

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?

The description covers the major data categories (funding ladder, credit spreads, tier aggregates, per-issuer flags) and notes end-of-day timing. However, with no output schema, it leaves the exact output structure, units, and flag semantics unspecified. It gives a strong overview but is not fully self-contained for an agent interpreting raw output.

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 are zero parameters, so no parameter semantics are needed. The schema coverage is 100% with an empty object, and the description correctly omits parameter details. Baseline of 4 applies for a zero-parameter tool.

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 clearly identifies the tool as providing an 'AI Credit Stress Tape' and enumerates its components (funding ladder, FRED spreads, tier aggregates, warning flags). It distinguishes itself from sibling tools by focusing specifically on credit stress. However, it never explicitly states the action verb (like 'returns' or 'provides'), relying on the tool name and title for that.

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 description gives no guidance on when to use this tool versus alternatives. It does not mention why one would select this over get_index_snapshot or get_latest_view, nor does it specify exclusions or use-case context. The implied use is for checking credit stress, but explicit comparison is absent.

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