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Glama

Check AIXBT access

me
Read-only

Check the current credential's access and usage limits.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes

Schema Changelog

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

  1. Changed2 schema fields changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
    • changedOutput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is clear. The description adds behavioral context by specifying that it checks 'access and usage limits,' which details what information the tool returns. No contradictions with annotations.

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?

The description is a single, concise sentence that front-loads the verb and resource. Every word is meaningful, with no filler or repetition.

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, parameterless tool with an output schema, the description covers the essential purpose. It might lack nuance about what 'usage limits' entails, but the output schema likely handles that. Given the context signals (no params, has output schema), the description is sufficiently complete.

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

Parameters4/5

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

There are no parameters, and schema description coverage is 100% (empty schema). The rule states baseline 4 for zero parameters, and the description does not need to add parameter details. It correctly omits any parameter discussion.

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 uses specific language: 'Check the current credential's access and usage limits.' It clearly states what the tool does (check) and what resource it operates on (current credential's access and usage). This distinguishes it from sibling tools like get_intel or list_projects, which retrieve data about other entities.

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 implies usage for verifying one's own permissions or rate limits, but does not explicitly state when to use this tool versus alternatives. There is no mention of when not to use it or what other tools might serve a similar purpose, leaving the agent to infer context.

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

A3.7/5.0
Disambiguation5/5

Each tool targets a distinct entity or action: single vs. list (get vs. list), intel vs. project vs. topic vs. report vs. cluster vs. vocabulary vs. credential check. No two tools have overlapping purposes; the descriptions clearly differentiate them.

Naming Consistency5/5

Uses a consistent pattern: get_ for singular retrieval, list_ for plural searches/listing. Only 'me' deviates, but it's a standard name for credential checks. The pattern is predictable and easy to follow.

Tool Count5/5

12 tools cover a focused domain (crypto intelligence) without unnecessary bloat. Each tool earns its place: core entities (projects, topics, intel), plus series, reports, vocabulary, clusters, and auth check. The count feels well-scoped.

Completeness5/5

The server provides a complete read surface for its domain: listing, searching, getting details, historical series, reports, and filter metadata. No obvious gaps for consuming intelligence (CRUD not expected in a read-only API).

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