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oktopeak

lawmatics-mcp

by oktopeak

find-contact

Find a single contact by exact email, phone, or name, returning the best match or not_found. For fuzzy searches, use list-contacts.

Instructions

Find a single contact by exact email, phone, or name. Returns the best match or not_found. For fuzzy searches use list-contacts with filter_with: 'ilike' and % wildcards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
byYesWhich finder to use.
valueYesThe email address, phone number, or full name to look up.
Behavior4/5

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

With no annotations, the description carries the burden of behavioral disclosure. It reveals return behavior ('Returns the best match or not_found') and exact-match semantics. It falls short of fully detailing potential errors or permissions, but for a simple lookup this is adequate.

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 filler. The first sentence states purpose and return, the second provides an alternative. Information is front-loaded and every word earns its place.

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 simple tool with 2 parameters and no output schema, the description covers purpose, return value, and distinction from fuzzy search. It does not explicitly differentiate from get-contact (likely ID-based), but this is a minor gap given the tool's straightforward nature.

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 coverage is 100% with clear descriptions for both 'by' and 'value', including an enum for 'by'. The description adds contextual context (exact matching) but does not add significant parameter-level meaning beyond the schema, so baseline 3 applies.

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 'Find a single contact by exact email, phone, or name' with a specific verb, resource, and scope. It distinguishes itself from sibling list-contacts by emphasizing 'exact' matching and 'single' result, and mentions the return value.

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?

Explicit guidance is provided: 'For fuzzy searches use list-contacts with filter_with: ilike and % wildcards.' This tells the agent when to use this tool versus an alternative, fulfilling the when/when-not requirement.

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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