Pulse MCP Server

invoke_agent

Execute AI agents from the Pulse marketplace by providing text inputs and agent identifiers to process tasks through the MCP server.

Instructions

Invoke an AI agent from the Pulse marketplace with a text input

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "slug": "<slug>",
      "input": "<input>"
    },
    "name": "invoke_agent"
  }
}

Input Schema

Name	Required	Description	Default
`slug`	Yes	The agent's URL slug
`input`	Yes	The text input to send to the agent

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Feb 20, 2026

TDQS

C2.9/5.0

Behavior2/5

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

With no annotations provided, the description carries full burden but provides minimal behavioral information. It mentions 'invoke' which implies an action, but doesn't disclose what happens during invocation (e.g., does it trigger a process, return immediate results, require specific permissions, have rate limits, or produce side effects?). The description lacks essential behavioral context for an invocation tool.

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

Conciseness4/5

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

The description is a single, efficient sentence that gets straight to the point. It's appropriately sized for a tool with two parameters and no complex behavior described. There's no wasted verbiage, though it could potentially benefit from being slightly more informative given the lack of annotations.

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?

For an invocation tool with no annotations and no output schema, the description is insufficiently complete. It doesn't explain what 'invoke' means operationally, what kind of response to expect, whether this is a synchronous or asynchronous operation, or any error conditions. The description leaves too many open questions about how this tool actually behaves in practice.

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 ('slug' and 'input') adequately. The description adds no additional parameter semantics beyond what's in the schema - it doesn't explain what constitutes a valid 'slug' format, provide examples, or clarify the nature of the 'input' parameter. Baseline 3 is appropriate when 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 ('invoke') and resource ('AI agent from the Pulse marketplace') with a specific input type ('text input'). It distinguishes this from sibling tools which are all related to billing/customer management, but doesn't explicitly differentiate from similar potential tools like 'get_agent_usage' or 'list_my_agents'.

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?

No guidance is provided about when to use this tool versus alternatives. The description doesn't mention prerequisites, when this should be used instead of other agent-related tools, or any contextual constraints. It simply states what the tool does without usage context.

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