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Gravatar Lookup

GravatarLookup
Read-only

Gravatar Lookup: Gravatar Lookup fetches public Gravatar profiles and avatar image URLs for any email address. It returns the display name, username, biography, location, company, job title and pronouns; paid plans add linked accounts (hidden ones flagged) and whether the email has its own uploaded avatar. (Cost: 2 credits)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "email": "<email>"
    },
    "name": "GravatarLookup"
  }
}

Input Schema

NameRequiredDescriptionDefault
emailYesThe email address to lookup the Gravatar profile of

Output Schema

NameRequiredDescriptionDefault
dataNo
errorNoError message, null on success
statusNo"ok" on success

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare read-only, open-world, non-destructive behavior. The description adds useful non-annotation context: results come from public Gravatar profiles, paid plans include linked accounts and uploaded-avatar status, and each call costs 2 credits.

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?

The description is short and front-loads the core action and result. It has minor redundancy in 'Gravatar Lookup: Gravatar Lookup fetches', but the remaining content is efficient and informative.

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 single-parameter read-only lookup with an output schema and annotations, the description covers purpose, result scope, paid-plan differences, and cost. It does not discuss missing-profile behavior or authentication, but those omissions are not severe given the structured metadata.

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?

There is only one parameter and the schema already describes it fully as the email address to look up. The description adds no additional format, normalization, or validation details beyond the schema, so the baseline for high schema coverage 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 specific verb and resource: it fetches public Gravatar profiles and avatar image URLs for an email address. It clearly distinguishes this from adjacent email or identity tools by naming Gravatar profiles and their returned fields.

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 phrase 'for any email address' gives a basic usage context, but the description does not explicitly say when to use this versus alternatives such as EmailValidator or other identity/profile tools, nor does it state exclusions.

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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