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Crocodile

data-coverage

Checks which market data is available for one exact symbol by returning its coverage rows. Use it to confirm a symbol has crypto or equity data before querying or replaying.

Instructions

Inventory coverage rows for one exact symbol.

Input Schema

NameRequiredDescriptionDefault
sourceNo
symbolYes
channelNo
asset_classNoWhich market answers. Inferred from the symbol's source when omitted.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.3.2

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. 'Inventory' weakly implies a read operation, but the description does not disclose permissions, response behavior, filtering behavior, error cases, or what a coverage row represents.

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?

The description is a single front-loaded sentence with no wasted text. It is concise, though its brevity contributes to the larger under-specification problem.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a four-parameter tool with no annotations, no output schema, and low schema description coverage, this is insufficient. An agent cannot tell what coverage rows are, how source/channel filtering works, or what to expect from the result.

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 only 25%, so the description needs to compensate. It clarifies that the symbol must be exact and singular, but says nothing about the source or channel filters, nor does it explain how asset_class inference interacts with those filters.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a resource, 'coverage rows,' and a scope, 'one exact symbol,' but 'inventory coverage' is vague without defining what coverage means or what rows contain. It does not distinguish this tool from nearby catalog/inventory siblings.

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?

The only usage signal is 'one exact symbol,' which implies exact-match lookup rather than prefix or bulk search. There is no explicit when-to-use guidance, no exclusions, and no named alternatives among the many catalog/list siblings.

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