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productive_find_person

Fuzzy search for people in the organization by partial name or email, returning a configurable number of matches.

Instructions

Fuzzy-search people in the organisation by name or email.

Args: query: Partial name or email (e.g. "Alice", "alice@example.com"). limit: Max matches to return (default 5).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
limitNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It discloses fuzzy search behavior and parameter info but lacks details on actionable constraints like data freshness, access rights, or result handling. More context would improve transparency.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: two sentences plus a bullet-style Args section. Every sentence serves a distinct purpose and no information is redundant. Properly front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the presence of an output schema and only 2 simple parameters, the description covers inputs adequately but could mention what happens when no matches are found or any other edge cases. It's minimally sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description adds significant value by explaining the 'query' parameter (partial name/email with examples) and the 'limit' parameter (max matches, default 5). This exceeds the baseline expectation.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool performs a fuzzy search for people by name or email, using specific verbs and resources. It distinguishes from sibling tools like productive_find_project by specifying the resource (people) and search type (fuzzy).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies when to use the tool (searching people by partial name or email) but does not explicitly state when not to use it or mention alternatives among siblings. No exclusion criteria are provided.

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

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