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

Annotations already provide readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds behavioral context: dedup based on identity fields and reporting the removed count. It does not discuss permissions or edge cases, but given the annotation coverage, this is sufficient.

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 one sentence, front-loaded with the verb 'Remove', enumerates the formats, and states the core behavior and output. Every word earns its place with no redundancy or fluff.

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?

An output schema exists (per context signals), so the return value details are presumably already available. The description covers purpose, formats, identity fields, and the removed-count aspect. It lacks edge-case behavior such as handling of missing keys or default key selection, but for a tool of this complexity, it is largely complete.

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 only 25% (only format has a description). The description partially compensates by clarifying that keys represent 'selected identity fields' and by listing supported formats. However, it leaves the `keep` parameter (first/last) undocumented in both schema and description, and `content` is only obvious from its name, creating a gap in parameter understanding.

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 states the tool removes duplicate records across five formats using identity fields and reports the removed count. The verb 'remove' plus resource 'duplicate records' and scope (formats/identity fields) makes the purpose unambiguous and distinguishes it from siblings like data.clean or data.convert.

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 usage for deduplication but provides no explicit guidance on when to choose this over related data tools or mention exclusions/alternatives. The mention of identity fields and formats gives context, but it stops at implied usage rather than offering clear when-to-use vs. when-not-to-use guidance.

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