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EricGrill

MCP Predictive Market

by EricGrill

browse_category

Browse prediction markets by category to find opportunities across multiple platforms. Filter markets to compare odds and identify potential arbitrage.

Instructions

Browse markets in a specific category

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
categoryYesCategory to browse
limitNoMax markets to return (default 20)
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions browsing markets but doesn't disclose behavioral traits such as whether this is a read-only operation, potential rate limits, authentication needs, or what the output looks like (e.g., list format, pagination). This leaves significant gaps for an agent to understand the tool's behavior.

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

Conciseness5/5

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

The description is a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for the tool's complexity, making it easy to parse quickly.

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?

Given no annotations and no output schema, the description is incomplete. It lacks details on behavioral aspects (e.g., safety, output format) and doesn't compensate for the missing structured data. For a tool with two parameters and siblings, more context is needed to guide proper usage.

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 documents both parameters ('category' and 'limit') with descriptions. The description adds no additional meaning beyond implying that 'category' specifies which markets to browse, which is already clear from the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the action ('browse') and target ('markets in a specific category'), making the purpose understandable. However, it doesn't differentiate from sibling tools like 'list_categories' or 'search_markets', which could also involve browsing or listing markets/categories, so it misses full sibling distinction.

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 description provides no guidance on when to use this tool versus alternatives. With siblings like 'list_categories' (which might list categories) and 'search_markets' (which might search across categories), there's no indication of context, prerequisites, or exclusions for this tool.

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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