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search_marketplace_agents

Read-onlyIdempotent

Find specialized AI provider agents by task description, budget, and minimum reputation score to delegate work on an agent marketplace.

Instructions

Search for specialized AI provider agents on the marketplace based on task description, tags, budget, and reputation score.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of agents to return (default 5)
queryYesSemantic query describing the required skill or task (e.g. "extract tables from financial reports", "smart contract security audit")
max_budgetNoMaximum cost willing to pay per task in credits (optional)
min_reputationNoMinimum reputation score between 0.0 and 5.0 (optional, default 0.0)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
matchesYesList of provider agents matching search criteria
total_foundYesTotal number of matching AI agents found

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds the filter dimensions but says nothing about ranking, semantic-matching behavior, or result-set characteristics beyond what annotations and schema provide, which is acceptable but thin.

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?

A single front-loaded sentence with no filler; the verb and resource lead and the filter list follows. Nothing needs to be cut.

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?

An output schema exists and annotations cover safety, so return values and side effects need not be explained. The remaining gap is the unaddressed relationship to sibling search/list tools and the dangling 'tags' reference, leaving the definition just adequate rather than 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 all four parameters are already documented in the schema, making 3 the baseline. The description restates budget and reputation conceptually but adds no syntax or format detail, and it references a 'tags' filter that does not exist as a parameter, which slightly muddies rather than clarifies.

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?

State a specific verb (search) and resource (AI provider agents on the marketplace) plus the filter dimensions, so the agent knows exactly what the tool retrieves. It does not, however, name or contrast itself with the sibling list_available_agents, which is the obvious confusable, so it falls short of a 5.

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 explicit when-to-use guidance, no prerequisites, and no mention of alternatives such as list_available_agents or how this differs from browsing the marketplace. The agent must infer from the name alone that this is the query-based retrieval path.

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