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Get topic report

get_report
Read-only

Get a published AIXBT report with its sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesReport ID

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. Changed1 schema field changed
    • changedInput schema / properties / id / description
      Previous value: -"Report id"New value: +"Report ID"
  3. First observed

TDQS

B3.4/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=false, indicating a safe, read-only operation. The description adds minimal behavioral info beyond the schema: it mentions 'published' status and inclusion of 'sources,' but does not disclose details like pagination, caching behavior, or what happens if the report doesn't exist or is unpublished. With annotations covering the core safety traits, the description adds some value but lacks deeper behavioral context (e.g., does it fail on unpublished? Rate limits?).

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 concise at one sentence (7 words), focusing on the core action and result. It is front-loaded with the verb 'Get' and the resource. However, given the tool's complexity (simple input, no annotations that contradict) the description could afford to add more value without sacrificing conciseness—e.g., a note about output format or typical usage context. Still, it avoids wasted words.

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?

With only one parameter (100% schema coverage), no nested objects, and a clear output schema (indicated as present), the tool is relatively simple. The description covers the basic purpose (get report + sources) but omits any context about what 'published' means, whether the report includes metadata, or how the output schema relates to 'sources.' For a low-complexity tool, it is minimally complete, but could be more helpful by explaining what kind of report this is (e.g., AIXBT research?) and what 'sources' entails.

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 description coverage is 100% (the only parameter 'id' has a description 'Report ID'), so the baseline is 3. The description does not add any new information about the parameter beyond the schema: it doesn't clarify what format the ID uses (UUID? URL? numeric?) or where to find it (from a list tool?). The description remains silent on parameter details, offering no extra meaning beyond the schema's minimal 'Report ID.'

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action 'Get' and the resource 'a published AIXBT report with its sources.' It distinguishes the tool from siblings that fetch intel, projects, or topics by specifying this is for a 'report' and that it includes 'sources.' However, it does not explicitly differentiate from 'get_topic' or 'get_intel' in terms of scope or content, missing a chance to rule out confusion.

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 when needing a published report along with its sources, but it provides no explicit guidance on when to use this tool versus alternatives like 'get_topic' or 'get_intel' (e.g., for raw data vs. synthesized report). No conditions, prerequisites, or exclusions are stated, leaving the agent to infer context from the tool name and schema.

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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