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mbe24

zaungast

by mbe24

Find a person

find_person

Resolve a name or nickname fragment to a person's canonical name and contact stats. Use when a name is ambiguous or you need a persistent handle.

Instructions

Resolve a name/nickname fragment to a person's canonical name and stable p:handle, with message count and last-contact time. Use when a name is ambiguous or unrecognized, or when you need contact stats or a p:handle. For ordinary filtering, just pass a name substring directly to search/read_messages 'from'/'participant' — don't call this first. Omit query to scan the roster (most-talked-to first).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nNodefault 8
queryNoname substring, or a p:handle to expand; omit to scan the roster
Behavior4/5

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

Despite no annotations, the description discloses output fields (canonical name, p:handle, message count, last-contact time) and the scanning behavior ('most-talked-to first' when query omitted). It does not mention any destructive actions, which is appropriate. A slight improvement would be to confirm the tool is 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.

Conciseness5/5

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

Three concise sentences: purpose, usage guidelines, and extra behavior. No redundancy. Efficiently 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?

Without annotations or output schema, the description covers input/output behavior but fails to explain the 'n' parameter. Since 'n' defaults to 8 and caps at 25, its role (number of results?) is not fully clarified. This gap reduces completeness.

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?

Schema coverage is 100% and descriptions in schema are decent. The tool description adds value by explaining the behavior of omitting query and the ordering. However, the 'n' parameter is not mentioned in the description, which could be overlooked.

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 resolves name fragments to canonical names and p:handles, with contact stats. It distinguishes from siblings by explicitly advising when to use search/read_messages instead.

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

Usage Guidelines5/5

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

Explicitly states when to use (ambiguous name, need contact stats) and when not to (ordinary filtering, use search/read_messages). Provides alternative tools.

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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