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autowhisper-mcp

autowhisper_edit_content

Directly update exact content fields without a generation run or credit spend. Pass body for the full replacement copy/story. IDs: content_id is the CONTENT id — in autowhisper_feed output that is the content: <type> #<id> part of a row, NOT the leading feed_item #<id> (that one belongs to autowhisper_action).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ctaNo
bodyNo
hookNo
toneNo
titleNo
keywordsNo
content_idYesThe CONTENT id from the feed row's `content: <type> #<id>` — not the feed_item id.
content_typeYesContent type in snake_case, as printed in the feed row's `content:` part.
workspace_idNoWorkspace to act in. Omit for the user's CURRENT workspace. The target item must live in that workspace — an id from another workspace will not be found.
autowhisper_tokenNoOptional: your AutoWhisper API token, for clients that cannot set an Authorization header. Takes precedence over the header. Never echoed back.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It usefully discloses two behaviors: no credit spend (cost transparency) and full replacement semantics for body. However, it does not clarify whether omitted fields are left untouched or cleared, nor any permission/auth requirements, leaving notable mutation behavior undisclosed.

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?

Purpose is front-loaded in the first sentence, followed by the body semantics and the ID disambiguation. It is efficient overall though the ID explanation is dense and slightly crowded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 10-parameter mutation tool with 40% schema coverage and no annotations or output schema, the description is adequate but incomplete: it never explains partial-update behavior for the many optional field parameters, which is important for correct invocation.

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 only 40%, so the description must compensate. It adds meaning for body ('full replacement copy/story') and reiterates the content_id resolution detail already present in the schema, but leaves cta, hook, tone, title, and keywords completely undocumented in both places.

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 states a clear verb+resource ('update exact content fields') and adds a meaningful scope contrast: this is a direct edit that avoids a generation run or credit spend. It does not name a specific sibling tool, so the differentiation from generation-based siblings is implied rather than explicit.

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?

Guidance is present: use this for direct field edits instead of a generation run, and pass body for a full replacement. This gives usable when-to-use context, but no explicit when-not-to-use or named alternative tool is provided.

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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