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Sentiment-scored news

news
Read-only

Sentiment-scored news (GET https://app.deepvalues.ai/api/v1/news/{ticker} — 0.001 credits per call; works with no credentials up to 25 call(s)/day per address)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sinceNo
tickerYes
sentimentNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds meaningful non-schema context: the HTTP endpoint, the exact cost of 0.001 credits per call, and the unauthenticated daily limit of 25 calls per address. It does not describe return format or pagination, but the annotations lower the burden.

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 compact sentence with the resource front-loaded, followed by endpoint, cost, and rate-limit details. Every clause provides distinct operational value, and there is no wasted text.

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?

For a 3-parameter tool with 0% schema description coverage and no output schema, the description is incomplete. It supplies endpoint and quota context but omits parameter semantics, output expectations, and sibling differentiation, so an agent would need to guess about key invocation details.

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 for all three parameters. It only implies that 'ticker' is a path parameter from the URL template; it does not explain the 'since' date filter or the 'sentiment' enum values (bullish, bearish, neutral), leaving the schema to carry unsupported meaning.

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 a specific resource ('Sentiment-scored news') and gives the exact endpoint, so the agent can tell this retrieves per-ticker news with sentiment scoring. It does not explicitly distinguish this tool from the sibling 'sentiment' tool, which leaves some ambiguity about when to prefer one over the other.

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 mentions credential and rate-limit constraints, but it gives no guidance on when to use this tool versus siblings such as 'sentiment', 'research', or 'filings'. There is no explicit when-to-use or when-not-to-use 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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