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Read-onlyIdempotent

Time-ordered cross-topic news feed: insider trades, Form 144 notices, cluster buys/sells, Schedule 13D filings, 8-Ks, FDA recalls, weather alerts, presidential documents.

Input Schema

NameRequiredDescriptionDefault
daysNoCalendar-day lookback for feed items; active severe weather alerts may remain. Default 3, max 30.
kindNoComma-separated kinds (e.g. cluster_buy,form144,schedule_13d_new)
topicNoExact topic filter: sec, fda, register, weather, or climate; omit for all. Climate currently has no feed producer.
min_importanceNoFilter to high-signal events. Reference: cluster_buy=85, presidential=80, 13D_new=75, Class I recall=100

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is fully covered structurally. The description adds the ordering behavior ('time-ordered') and the cross-topic breadth, which is useful context. It says nothing about item volume, pagination, or freshness/latency, so it adds only moderate 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single compact sentence that front-loads the core concept ('time-ordered cross-topic news feed') and then lists the covered streams. No filler, no repetition of the title or annotations.

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?

With no output schema, the description still conveys the shape of what comes back (a time-ordered feed spanning the listed domains), and the schemas/annotations handle the rest. The enumeration of content types aligns well with the kind and topic parameters. It stops short of describing item structure, pagination, or result limits, which leaves a small gap for a feed tool.

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 all four parameters (days, kind, topic, min_importance) are already fully documented in the schema, including the importance reference values and the climate caveat. The description adds no parameter-level syntax or semantics beyond what the schema provides, so the baseline 3 applies.

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 gives a specific resource (a time-ordered cross-topic news feed) and enumerates the exact content streams it aggregates (insider trades, Form 144, cluster buys/sells, 13D, 8-K, FDA recalls, weather alerts, presidential documents). That lets an agent understand the scope without opening the schema. It does not, however, contrast itself with sibling feeds like cluster_buys, doj_recent, or fda_firm_dossier, so it stops short of full sibling differentiation.

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 explicit when-to-use, when-not-to-use, or alternative-selection guidance. Given many sibling tools cover the same content narrowly (cluster_buys, cluster_sells, doj_recent, fda_firm_dossier), an agent gets no signal about when this aggregated feed is preferred over those. Usage is only loosely implied by the enumerated content.

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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