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

With no annotations provided, the description must carry the behavioral transparency burden. It states the data source (SEC EDGAR), that 'every row links to its filing,' and the licensing terms, which is useful behavioral context. However, it does not describe the overall return shape, pagination, or whether any side effects occur, though 'get' implies read-only.

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 concise and well-structured: each clause adds a distinct piece of information—topic, SEC item basis, data source, row-link behavior, and licensing. It is front-loaded with the core subject and contains no filler.

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 single-parameter tool with no output schema, the description covers the essential context: what data is included, the regulatory basis, the source, and a key output behavior (filings linked). It does not enumerate return fields or provide explicit usage exclusions, but given the tool's simplicity these omissions are minor.

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%, so the schema fully documents the 'limit' parameter, including default, ceiling, and response metadata behavior. The description adds no additional parameter-specific meaning, matching the baseline score for high schema coverage.

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 resource as 'Identity Mergers' and specifies 'SEC 8-K Items 2.01 and 5.01 · completed acquisitions and control changes,' which precisely scopes the data. It lacks an explicit verb like 'returns' or 'lists,' but the tool name and context make the action unambiguous. The subject matter is distinct from all listed siblings, so an agent can tell them apart.

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 implies when to use this tool—when the user asks about completed acquisitions or control changes from SEC filings—and the sibling names are clearly different. However, it does not explicitly state when not to use it or mention alternative tools for related queries, leaving routing mostly to inference.

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