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host.tool_run

Debug-run a published python tool: result.payload plus duration_ms and exit_code; for the other cases see host.quickstart.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
argsYesArguments to pass, same shape as a real call.
nameYesLocal name of the already-published python tool to debug-run.
tenant_keyNoThe key `signup` returned. Required only when this connection carries no Authorization: Bearer header -- when both are present, the header wins.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedInput schema / properties / args / description
      Added value: +"Arguments to pass, same shape as a real call."
    • addedInput schema / properties / name / description
      Added value: +"Local name of the already-published python tool to debug-run."
  2. First observed

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It usefully discloses that the tool returns result.payload plus duration_ms and exit_code, but it does not explain whether debug-running actually executes the tool with side effects, how it differs from a real call, or any failure/error behavior.

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. It states the core purpose, the expected output, and points to an alternative in a compact way.

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?

Given the full schema coverage, a clear output-field summary, and the pointer to host.quickstart, an agent has most of what it needs to call the tool. The main gap is the lack of differentiation from host.tool_test and host.tool_call, but the description is otherwise reasonably complete for a debug-run helper.

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 baseline is 3. The description does not add any parameter-level meaning beyond what the schema already provides; name and args are already well described in the input schema.

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 names a specific verb ('Debug-run') and resource ('a published python tool'), and states the output fields (result.payload, duration_ms, exit_code). It does not, however, distinguish itself from closely related siblings like host.tool_test or host.tool_call, only from host.quickstart.

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 phrase 'for the other cases see host.quickstart' provides a pointer to one alternative, but 'other cases' is vague and no explicit conditions distinguish host.tool_run from host.tool_test or host.tool_call. Some usage context is present, but it is largely implied rather than stated.

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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