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Crawlora MCP

google_finance_ticker

Read-only

Returns the Google Finance ticker time series for the requested window.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
firstYesFirst leg of the ticker pair, for example AAPL or BTC.
secondYesSecond leg, for example NASDAQ or USD.
windowNoChart window such as 1d, 5d, 1m, 6m, 1y, 5y, or max (defaults to 1d).
is_cryptoNoWhether the pair is a cryptocurrency pair.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesThe tool result payload (shape varies per tool; see each tool's docs resource).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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 essentially nothing behavioral beyond the annotations — no note on data granularity, freshness, or any constraint, which is a real gap for a time-series retrieval tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

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

One efficient, front-loaded sentence with no filler. It is appropriately sized, though its brevity borders on under-specification rather than true conciseness.

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?

With a full output schema and annotations present, the description need not explain return values or safety. However, for a 4-parameter financial tool sitting among numerous google_finance siblings, the absence of any usage routing leaves it only minimally complete.

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 the schema already explains first, second, window, and is_crypto with examples and defaults. The description adds no extra meaning beyond what the schema provides, which is the baseline 3.

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 (returns) and resource (Google Finance ticker time series) with the scope qualifier 'for the requested window'. It does not, however, differentiate itself from the many google_finance siblings such as google_finance_chart or google_finance_quote, so an agent cannot tell from the text alone which one to pick.

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 when-to-use guidance, no prerequisites, and no mention of alternative tools. Given the dense cluster of google_finance tools (chart, quote, company, financials), some routing hint was expected and none is present.

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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