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abhishek42638

BRAINS MCP Server

lookup_lead

Find a lead by exact email address and retrieve their company's firmographics to begin lead qualification.

Instructions

Look up a lead by email address, with their company's firmographics.

This is the entry point for qualifying any lead. Call this first — the other tools take their arguments from what this returns.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesThe lead's email address, exactly as received (e.g. "priya@acmerobotics.com"). Matched exactly.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.1/5.0
Behavior3/5

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

No annotations are present, so the description carries the full burden. 'Look up' implies a read-only operation and the description discloses the returned firmographics plus the 'call first' behavior, but it does not explicitly state there are no side effects or describe not-found/error 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 filler. The core action is front-loaded, and the critical 'call this first' guidance follows immediately. Every sentence earns its place.

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?

This is a simple one-parameter lookup with a full output schema. The description names the input, the expected return concept, and the proper call order. Nothing essential is missing for an agent to invoke it correctly.

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%, so the description does not need to add parameter details. It does echo 'by email address' and the schema adds exact-match semantics. The description does not add meaningfully 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 states a clear action ('Look up a lead by email address'), a specific resource (lead), and a scoping detail (company firmographics). It also distinguishes itself as the entry point for qualifying, making it unambiguous against sibling tools.

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

Usage Guidelines4/5

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

It gives explicit usage guidance: 'Call this first' and explains that other tools consume its return value. It does not name specific sibling alternatives or state when not to use it, but the sequencing instruction is clear enough.

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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