Get Latest 10-Q Facts
get_10q_factsKey XBRL facts from the latest 10-Q: revenue, profits, EPS, assets, cash, debt.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | Stock ticker, e.g. AAPL |
get_10q_factsKey XBRL facts from the latest 10-Q: revenue, profits, EPS, assets, cash, debt.
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | Stock ticker, e.g. AAPL |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish it as a safe, read-only, open-world operation, so the safety burden is lifted. The description adds the useful scope signal that the data comes from the 'latest' 10-Q, but does not disclose freshness semantics, error behavior for non-10-Q issuers, or that it is limited to key facts rather than the full statement.
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 compact sentence with zero filler, front-loading the source ('latest 10-Q') followed by the returned fields. Nothing redundant with the title or schema.
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 read tool whose annotations cover safety and whose schema is fully documented, the description supplies what the agent needs: the data source and the facts returned. Minor gaps remain around when the tool is appropriate versus related financial tools and behavior when no 10-Q is filed.
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?
There is a single ticker parameter with 100% schema description coverage ('Stock ticker, e.g. AAPL'), so the schema does the explaining. The description contributes no additional parameter meaning, which is the correct baseline 3 for full coverage.
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?
States a specific verb+resource ('get ... facts') and pins the scope to the latest 10-Q with an enumerated list of facts (revenue, profits, EPS, assets, cash, debt). This clearly separates it from the broader get_company_facts or generic get_financial_statement, but it never names a sibling to draw the boundary explicitly.
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 description only says what the tool returns. It gives no condition for when to prefer it over get_company_facts, get_financial_statement, or get_quarterly_trend, no prerequisites (e.g. US-listed filers only), and no note on what happens if no 10-Q exists.
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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