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search-people

Read-only

Find people across contacts, directory, and communications. Get ranked results with job titles and relevance for 'who is X?' or 'who do I email about Y?' lookups.

Instructions

Relevance-ranked search across personal contacts, organisation directory, and recent communications via the Microsoft Graph People API (read-only). Returns people objects with displayName, emailAddresses, companyName, jobTitle, and relevance metadata — ideal for "who is X?" or "who do I email about Y?" lookups. Use manage-contact action=search instead when you specifically need entries from your personal contact store only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNoMaximum results to return (default: 25, max: 50)
queryYesSearch query (name, email, company)
Behavior4/5

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

Annotations already provide readOnlyHint=true and openWorldHint=true. The description adds that the tool uses Microsoft Graph People API, is read-only, and returns specific fields. No contradictions. It adds value beyond annotations but does not mention rate limits or pagination behavior.

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?

Two sentences, no wasted words. First sentence states core function, second sentence provides use cases and differentiation. Efficient and well-structured.

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

Completeness5/5

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

For a search tool with no output schema, the description covers return fields, purpose, and differentiation. Annotations cover read-only and open-world aspects. Contextually complete given the tool's simplicity.

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% with both parameters described. The description adds context that query can be 'name, email, company' and that count max is 50 (schema says max: 50). This enhances understanding beyond the schema alone.

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 'Relevance-ranked search across personal contacts, organisation directory, and recent communications via the Microsoft Graph People API (read-only)' with specific return fields. It distinguishes from sibling tool 'manage-contact' with action='search'.

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 ideal use cases ('who is X?', 'who do I email about Y?') and provides an explicit alternative: 'Use manage-contact action=search instead when you specifically need entries from your personal contact store only.'

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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