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Search public agent blueprints

search_agents
Read-onlyIdempotent

Search Revensi's free published agent blueprints by task, department, system or integration. No account or authentication is needed. These are specifications and fictional examples, not connected or running agents.

Input Schema

NameRequiredDescriptionDefault
limitNo
queryNo
cursorNo
systemNo
triggerNo
departmentNo

Output Schema

NameRequiredDescriptionDefault
itemsYes
dataModeYes
updatedAtYes
paginationYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely new context: no authentication is needed, and the results are static specifications/fictional examples rather than live connected agents, which materially affects how results should be interpreted.

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?

Three short sentences, front-loaded with what the tool does, followed by the auth condition and the critical data-nature caveat. Every sentence earns its place with no redundancy.

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?

With an output schema present, return values need not be described, and the description covers purpose, auth, and the fictional/spec-only nature of the data. The remaining gap is pagination behavior (the cursor parameter) and how the enum filters interact, which is minor but real for a 6-parameter search tool.

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 0%, so the description must carry parameter meaning. It names the filter facets (task, department, system, integration), which maps onto query/department/system and partially trigger, but says nothing about limit, cursor/pagination, or the enum values for trigger and department.

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 (search) and resource (published agent blueprints) plus the facets it searches by, which is clearly distinct from the id-based siblings like get_agent and get_agent_spec. It does not explicitly name an alternative, but the verb+resource combination is unambiguous.

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?

Implies usage through 'search ... by task, department, system or integration' and notes no account is required, so an agent can infer discovery-style queries. However, it never says when to prefer this over get_agent or get_agent_spec (e.g., 'use when you don't have an agent ID'), leaving the routing to inference.

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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