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Glama

get_profile

Read-onlyIdempotent

Look up an actual public social profile using ScrapeCreators. Missing numbers are null.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformYes
usernameYes

Schema Changelog

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

  1. Changed1 schema field changed
    • removedInput schema / additionalProperties
      Removed value: -false
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds useful return-value nuance with 'Missing numbers are null' and clarifies that it fetches an 'actual public' profile, but it does not describe output structure, error conditions, or data freshness.

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 short sentences deliver the primary purpose and one valuable null-handling detail without filler. The main action 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.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple 2-parameter read operation with no output schema, the description is adequate but sparse. It conveys purpose and hints at numeric fields, yet omits the returned profile shape, supported platform behavior beyond the schema enum, and any caveats about 'missing' data other than numbers.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate, but it does not explain the platform enum, username formatting, or how the two parameters work together. The only parameter meaning comes from the schema's property names and enum values.

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 opens with 'Look up an actual public social profile' — a specific verb and resource. 'Actual public' and 'using ScrapeCreators' help distinguish it from sibling tools like get_order, get_wallet, or list_posts.

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

Usage Guidelines2/5

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

The description gives no guidance on when to use this tool versus alternatives such as list_posts or get_wallet. 'Using ScrapeCreators' identifies the source but does not help an agent decide between profile lookup and other operations.

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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TDQS

A4.4/5.0
Disambiguation5/5

Each tool maps to a distinct resource or action: profile lookup, post listing, service listing, quoting, order creation, payment, order status, and wallet balance. The only adjacent pair is list_services/get_quote, but their descriptions explicitly separate catalog pricing from exact quote calculation.

Naming Consistency5/5

All tool names follow a consistent lowercase snake_case verb_noun pattern: get_* for single resources, list_* for collections, and create_order/pay_order for lifecycle actions. No mixed naming conventions or vague verbs appear.

Tool Count5/5

Eight tools is well-scoped for a social media engagement purchasing server. Each tool covers a necessary step in the quote-to-delivery workflow without redundancy or unnecessary surface area.

Completeness5/5

The tool set covers the full lifecycle: discover services, inspect profiles/posts, get a verified quote, create an unpaid order, check wallet balance, pay, and track order status. No critical gap prevents an agent from completing the intended purchase flow.

Resources