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Podcast MCP

Podcast MCP

by calebn
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

gate_overreach_tool

Detect and report where noise gating has muted speech on a podcast track, optionally filtered by speaker or project path.

Instructions

Report where noise gating muted speech on a track.

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": "gate_overreach_tool"
  }
}

Input Schema

NameRequiredDescriptionDefault
speakerNo
track_idNo
project_pathNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv0.1.1
    • addedInput schema / properties / project_path / anyOf
      Added value: +[
+  {
+    "type": "string"
+  },
+  {
+    "type": "null"
+  }
+]
    • addedInput schema / properties / project_path / default
      Added value: +null
    • removedInput schema / properties / project_path / type
      Removed value: -"string"
    • removedInput schema / required
      Removed value: -[
-  "project_path"
-]
  2. First observedv0.1.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. "Report" implies a read-only diagnostic, but the description does not confirm non-mutation, does not state any prerequisites (e.g., gate must have been applied), and gives no indication of what scope is analyzed. It adds little beyond the verb.

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?

A single, front-loaded sentence with no wasted words. It is efficient, though its terseness shades into under-specification rather than pure conciseness.

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?

An output schema exists so return values need not be explained, but with zero annotations and three undocumented optional parameters, the description leaves key gaps: when to invoke it, what governs its scope, and how it relates to the gating tools in the sibling set.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0% and the description mentions none of the three parameters (speaker, track_id, project_path), nor how they scope the report or interact. The agent gets no help understanding whether these are filters or required targets.

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 (report) and a specific resource (where noise gating muted speech on a track), which is more than a tautology and can be told apart from the mutation-oriented siblings like speaker_gate_track_tool. It does not explicitly name the sibling it complements, but the diagnostic intent is clear.

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 when-to-use guidance, no prerequisites, and no mention of related tools such as speaker_gate_track_tool or apply_transcript_gate_tool. The agent must infer that this is a diagnostic read to run before or after gating.

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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