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SpinHire iGaming Jobs

market_history

Monthly archive of the iGaming job market (open jobs at month end, companies, new postings) and daily snapshots.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses the data scope (monthly archive, daily snapshots) but doesn't mention whether this is a read-only operation, how far back the archive goes, or what the response format looks like. For a 0-parameter tool, the description is reasonably transparent about what data is returned.

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 sentence that front-loads the core resource (monthly archive) and then lists contents. It is concise and structured, though the phrase 'and daily snapshots' is slightly tacked on at the end.

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

Completeness4/5

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

For a 0-parameter tool with no output schema, the description is fairly complete: it tells the agent what data is available. It could be improved by noting the time range or that it's a read-only historical view, but nothing critical is missing for invoking the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

There are 0 parameters, so the schema provides no parameter documentation. The description compensates by explaining what the tool returns, which is the only semantic content an agent needs for a parameterless call. Baseline 4 for 0 params is appropriate.

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?

The description states a specific resource (monthly archive of the iGaming job market) and what it contains (open jobs at month end, companies, new postings, daily snapshots). It is clear enough to distinguish from siblings like market_stats, though it doesn't explicitly name a sibling.

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 description implies this is for historical market data, but it doesn't explicitly say when to use it vs market_stats or search_jobs. The context signals show 0 parameters, so the tool likely returns a broad archive; the description gives some context but no explicit exclusions or alternatives.

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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