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news_sentiment

Read-only

News tone (bps), mentions against the 30-day baseline, volume ratio, novelty and top themes for one entity.

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": {
      "entity": "<entity>"
    },
    "name": "news_sentiment"
  }
}

Input Schema

NameRequiredDescriptionDefault
entityYesEntity id such as org_nvidia, cb_federal_reserve, asset_bitcoin
windowNo1h, 24h or 7d24h

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so the safety profile is covered. The description adds meaningful context beyond that: tone is expressed in basis points, mentions are compared to a 30-day baseline, and themes are included. It does not disclose the cost/limits of the call or how a fresh vs. baseline window interact.

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?

A single dense sentence with no filler, though it leads with metric names rather than the action, which is slightly less front-loaded than an ideal purpose statement.

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 no output schema, the description must carry the burden of explaining returns, and it does list the metric names. However, it leaves the formats ambiguous (units for volume ratio, what 'novelty' and 'top themes' look like, how the window affects the baseline comparison), so an agent knows roughly what comes back but not precisely.

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%, so both parameters (entity with id examples, window with 1h/24h/7d) are already documented, making 3 the baseline. The description adds only the notion that a 30-day baseline is used for comparison, which hints at but does not explain the window parameter's effect.

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 names the resource ('news_sentiment ... for one entity') and enumerates the specific metrics returned (tone in bps, mention baseline, volume ratio, novelty, themes), so an agent can tell what data it yields. It lacks a leading verb and never distinguishes itself from siblings like news_sentiment_history or news_ticker_score, so it stops short of a 5.

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?

There is no when-to-use statement, no prerequisites, and no mention of alternatives. The phrase 'for one entity' implies a single-entity lookup, but nothing tells the agent when to prefer this over news_sentiment_history or news_ticker_score.

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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