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

Annotations already cover safety (readOnlyHint, idempotentHint, destructiveHint=false), so they set the floor; the description adds genuinely new traits: zero cost, not counted against tasks, never touches an ad platform, and the failure behavior for unknown names (near matches returned). It stops short of stating rate limits or output size limits for large batches, so 4 rather than 5.

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?

Front-loads the most decision-relevant facts (read-only, free, what it returns), then routes with use-when / when-not-to-use, then return shape. Dense with useful content, though the cost statement is repeated in two places and the emoji line is decorative 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?

No output schema exists, and the description compensates by describing the return shape (one block per tool with risk, cost, the 'How to call' line and the schema) plus a compact mode. Combined with full parameter coverage and annotation-backed safety, an agent has everything needed to call this correctly.

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 each parameter is documented in the schema itself, so the baseline is 3. The description restates verbose=false behavior and hints at batch size ('one or more', schema caps at 10) but adds nothing the schema does not already say, and never mentions raw_data.

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 and resource — 'Returns the live JSON schema of one or more tools' — and enumerates what comes back (required fields, enums, defaults, examples, call line). It is clearly distinguishable from sibling search_tools, which discovers tools rather than describing them, and the title reinforces the same purpose.

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?

Contains explicit 'Use when' conditions (a router or search_tools pointed at a tool; a call failed validation) and an explicit 'When not to use' (the schema is already attached to a tool in the tool list). The alternative, search_tools, is named as the fallback for unknown names.

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