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Chip company briefing (filings + news)

chip_briefing
Read-only

Get a cited one-shot briefing on a chip company by ticker: recent SEC filings, annual revenue trend, and headlines mentioning it.

Instructions

One-shot briefing on a chip company: latest SEC filings, annual revenue trend and recent headlines mentioning it. Every item cited.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNo
tickerYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.5/5.0
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 and external-data reach are covered. The description adds genuinely new behavior beyond that: the briefing bundles three distinct source types and guarantees 'every item cited', which tells the agent the output is sourced and verifiable — a trait not present in the annotations. It omits latency/cost implications of a composite multi-source call, so a 4 rather than 5.

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 dense sentence that front-loads the tool's identity and then enumerates outputs, with no filler. The trailing 'Every item cited' is a compact, load-bearing guarantee rather than padding.

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?

There is no output schema, so the description carries the burden of describing the return, and it names the three content blocks adequately. But for a two-parameter composite tool it leaves the 'days' window semantics unexplained and gives no clue about result shape (sectioned? per-source counts?), so an agent knows roughly what it gets but not how the inputs shape it.

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% for both parameters. The description never mentions 'ticker' (2-6 char string) or 'days' (1-30 window), so the agent gets no explanation of what the window controls — presumably it bounds filings and headlines but not the annual revenue trend, which is left ambiguous. With the schema silent and the description silent, the parameter layer is a real gap.

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?

States a specific verb+resource ('one-shot briefing on a chip company') and enumerates its contents: SEC filings, revenue trend, and headlines. However, it never distinguishes itself from the siblings chip_news and chip_company_filings, which cover subsets of exactly this payload, so an agent can't tell from the description alone why it would pick this composite over the granular tools.

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 phrase 'one-shot' implies an aggregate call versus the narrower sibling tools, which is a usable hint, but the description never says explicitly when to prefer it over chip_news or chip_company_filings, nor does it state any prerequisites such as ticker format or freshness expectations. Usage is inferable rather than stated.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.