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get_clean_feed

Read-only

Return a curated clean feed of articles for a given query topic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
categoryNo

Schema Changelog

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

  1. First observed

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the description's mention of 'curated clean feed' adds some context about output quality but lacks details on filtering criteria, rate limits, or authentication needs. It provides minimal added value beyond annotations.

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 a single concise sentence that front-loads the main action. It earns its place but could be slightly more informative without becoming verbose.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

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

Given the tool has three parameters and no output schema, the description is incomplete. It does not explain the return format, the effect of 'limit' or 'category', or how 'curated' and 'clean' are achieved. The agent lacks sufficient context for correct invocation.

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?

With 0% schema description coverage, the description must compensate for parameter semantics. It only mentions 'query topic', covering the required 'query' parameter, but omits 'limit' and 'category'. This leaves the agent uninformed about these optional parameters.

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 tool returns a curated clean feed of articles for a given query topic, specifying the action and resource. However, it does not differentiate from sibling tools like get_market_narratives or vet_trade, leaving potential ambiguity.

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?

No guidance is provided on when to use this tool versus alternatives, nor are there any when-not or prerequisite instructions. The agent is left to infer the appropriate context from the tool name and siblings.

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

A3.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: fetching articles, getting market narratives, and vetting a trade. There is no overlap in functionality.

Naming Consistency5/5

All tools use snake_case with a consistent verb_noun pattern (get_clean_feed, get_market_narratives, vet_trade), making the naming predictable.

Tool Count4/5

With only 3 tools, the server feels slightly under-scoped but still reasonable for a specialized narrative analysis service.

Completeness3/5

The tools cover core analysis tasks but lack features like listing available topics or exploring narrative details, leaving some workflow gaps.