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chandshy
by chandshy

Get Contacts

get_contacts
Read-only

Extract a ranked contact list from your email history, showing send/receive counts, last interaction dates, and inferred organization. Sorted by recency, total, sent, or received.

Instructions

Extract contact list from email history with send/receive counts, last-interaction dates, inferred organization, and recency-weighted ranking. Includes contacts from both inbox and sent folders.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax contacts to return (default 100, max 500)
sortByNoSort order: recent = recency-weighted total (default), total = raw interaction count, sent = emails you sent them, received = emails they sent yourecent

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
contactsYes
Behavior4/5

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

Annotations already indicate read-only and open-world hints. The description adds behavioral details: includes both inbox and sent folders, and specifies the derived fields (counts, dates, ranking). No contradictions.

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 concise sentences, front-loaded with the core purpose. Every sentence adds value with no redundancy.

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

Completeness4/5

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, the description sufficiently covers inputs and output nature. It could mention pagination or duplicate handling, but overall complete for this tool's complexity.

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 covers both parameters fully (limit and sortBy). Description adds meaning beyond schema by explaining the sortBy enum values (e.g., 'recent = recency-weighted total'). This aids correct invocation.

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?

Description uses specific verb 'Extract' with resource 'contact list' and details what data is returned (send/receive counts, dates, organization, ranking). It clearly distinguishes from all sibling tools, which are email operations or aliases.

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 does not provide explicit when-to-use or when-not-to-use guidance, nor does it mention alternatives. It implicitly suggests use for gathering contact data, but lacks context for selection over other 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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