key_financials
FREE. Latest annual revenue, net income, total assets and cash for a US-listed company (ticker or name) from SEC XBRL data.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| company | Yes |
FREE. Latest annual revenue, net income, total assets and cash for a US-listed company (ticker or name) from SEC XBRL data.
| Name | Required | Description | Default |
|---|---|---|---|
| company | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must carry the whole burden. It usefully discloses the upstream source (SEC XBRL) and that coverage is limited to US-listed issuers, which implies XBRL filing latency and restatement risk, but it says nothing about permissions, failure modes for unknown tickers, currency, or how quickly new filings appear.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One sentence with the cost signal front-loaded and the scope, metrics, and source packed into a single readable clause. Nothing redundant and nothing deferred to the end.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a one-parameter lookup tool with no output schema this covers the essentials, but return shape (annual vs fiscal year end, currency, units) and identifier-matching behavior are left unstated. An agent knows what it will get at a high level but not what edge cases to expect.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0%, so the single 'company' parameter would be opaque without the description; 'ticker or name' at least tells the agent both identifier forms are accepted. It does not say which format is preferred, how ambiguous names are resolved, or what happens on a miss, so the compensation is partial.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Names the exact metrics returned (revenue, net income, total assets, cash), the scope (latest annual, US-listed), and the data source (SEC XBRL). It distinguishes itself from 'history' only implicitly via the word 'latest', so the sibling differentiation is not explicit.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'Latest annual' implies this is the snapshot tool and that time-series needs belong to 'history', but no alternative is named and there is no when-not-to-use guidance. The 'FREE' marker helps an agent weigh cost against the unnamed siblings, which is the only explicit routing signal.
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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