Skip to main content
Glama

Mentionry

Run an agent

run_agent

Run one of your agents once and return what every step did, in order, with what it returned and how long it took. Pass its declared inputs as an object keyed by their key from describe_agent. Uses one included agent run. Provider calls remain subject to the shared collection allowance. Requires a paid Mentionry plan.

Input Schema

NameRequiredDescriptionDefault
inputsNoThe agent's declared inputs, keyed by `key`. Values are strings.
agent_idYesFrom list_agents.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that output is an ordered step trace with per-step return values and timings, that a run is consumed from the included quota, and that provider calls draw on a shared collection allowance. Failure modes, async/sync behavior, and timeouts are left unstated, keeping it short of a 5.

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?

Four compact sentences, front-loaded with purpose and return behavior, then input construction, then cost/quota, then the plan prerequisite. No sentence is redundant and nothing is buried.

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?

Since there is no output schema, the description must explain return values, and it does: ordered steps with results and durations. Quota and plan requirements are covered, which is important for a cost-bearing tool. Missing only error/limit-handling detail for a tool that consumes a metered resource.

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?

Schema coverage is 100%, so the baseline is 3; the description goes further by telling the agent where input keys come from (describe_agent's `key` field) and implying inputs are a keyed object of the agent's declared inputs. The agent_id sourcing is already in the schema as list_agents, so the added value is real but modest.

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 ('Run one of your agents once') and immediately defines the return shape: per-step results, in order, with outputs and durations. This clearly separates it from sibling management tools like list_agents and describe_agent, which it references only as data sources.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete prerequisites and the tool chain needed to invoke it: agent_id from list_agents, inputs keyed from describe_agent, one included run consumed, and a paid Mentionry plan required. It does not state when to avoid running an agent, but no true alternative execution tool exists among siblings, so context is effectively complete.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources