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Search contacts

search_contacts
Read-onlyIdempotent

List contacts, most recently updated first, optionally filtered by a search on name or email, a segment, a product or an email status. Each has its id, consent, tags and custom fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoHow many to return (default 25, at most 100).
offsetNoHow many to skip, for paging.
searchNoName or email contains this.
productIdNoOnly this product's contacts (from list_products).
segmentIdNoOnly people in this segment (from list_segments).
emailStatusNoOnly contacts with this email status.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuine context beyond them: the default sort order and a summary of what each returned record contains (id, consent, tags, custom fields), which matters since no output schema exists.

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

Conciseness4/5

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

Two tight sentences, front-loaded with the primary action and ordering before the filter list. The trailing sentence about returned fields earns its place given the absence of an output schema, though it is slightly tacked on.

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?

For a zero-required-parameter list tool with full schema coverage and rich annotations, the essentials are covered: ordering, filter dimensions, and returned fields. Missing only pagination guidance (though limit/offset are self-explanatory) and any hint of result volume.

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

Parameters3/5

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

Schema description coverage is 100%, so all six parameters are already documented in the schema, and the description mostly restates them at a high level. It adds no format, default, or constraint detail beyond what the schema provides, so the baseline of 3 applies.

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

Purpose4/5

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

States a specific verb and resource ('List contacts') plus ordering ('most recently updated first') and the filter dimensions. It clearly distinguishes itself from get_contact and count_contacts by being a filtered listing, though it never names those siblings explicitly.

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 conveys capability (optional filters on name/email, segment, product, email status) but gives no explicit when-to-use or when-not guidance, and does not route the agent to sibling tools like count_contacts or list_segments. Usage is only implied.

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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