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Find app actions

search_actions
Read-onlyIdempotent

Search the actions Fetch Hive can perform in an app (for example sending a Slack message), with which accounts are connected. Use get_action_schema for one action's inputs.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "search_actions"
  }
}

Input Schema

NameRequiredDescriptionDefault
appNoThe app id, e.g. "slack". Leave out to search every app.
limitNoHow many to return (default 20).
queryNoWhat the action should do.
cursorNonext_cursor from the previous page.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior3/5

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 value by disclosing that results carry connected-account information, but says nothing about pagination behavior, the 50-item cap, or what happens when zero actions match — notable given there is no output schema.

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?

Two sentences, no filler, with the core capability front-loaded and the follow-up pointer placed after it. Every clause carries information.

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 four-parameter, all-optional read-only search with full schema coverage and annotations, the definition covers what is searched, what accompanies results, and where to go for per-action detail. The only meaningful gap is pagination/empty-result behavior, which the cursor schema partially implies.

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 coverage is 100%, so each of the four parameters (app, limit, query, cursor) is already documented in the schema, including defaults and pagination semantics. The description adds no meaning beyond that — it doesn't clarify query matching behavior or how app omission broadens the search.

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

Purpose5/5

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

States a specific verb and resource ("Search the actions Fetch Hive can perform in an app") and grounds it with a concrete example ("sending a Slack message"), plus a scope note that results include connected accounts. This distinguishes it from the sibling search_* tools, which target agents, docs, prompts, templates and workflows rather than app actions.

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 routes the agent to get_action_schema for a single action's inputs, which is useful next-step guidance, but it never states when to reach for this tool versus alternatives, nor any preconditions (e.g., connect_app needed first). Usage is only implied by the purpose.

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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