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Reply to reader activity

reply_to_reader_activity
Destructive

Publish a reply to an owned Substack comment activity. A successful reply moves the activity to History.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
activityIdYes
idempotencyKeyNo
substackConnectionIdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
replyIdYes
successYes
requestIdYes
deduplicatedYes
connectedAccountNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • addedOutput schema / properties / requestId
      Added value: +{
      +  "type": "string"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "success",
      -  "status",
      -  "deduplicated",
      -  "replyId"
      -]New value: +[
      +  "success",
      +  "status",
      +  "deduplicated",
      +  "replyId",
      +  "requestId"
      +]
  2. First observed

TDQS

C2.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=false, destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is covered. The description adds a genuine behavioral fact beyond that: a successful reply moves the activity to History, which tells the agent the operation mutates activity state. It stops short of describing failure modes or permission requirements, so it is good but not complete.

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?

Two short sentences, front-loaded with the action and followed by the state consequence; no filler. It errs on the side of under-specification rather than bloat, but nothing written is wasted.

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 a non-idempotent, destructive publish operation with four undocumented parameters, the description is too thin. An output schema exists, so return values need not be explained, but ownership/connection selection and idempotency behavior are unaddressed.

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

Parameters1/5

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

Schema description coverage is 0% across four parameters (activityId, text, idempotencyKey, substackConnectionId), and the description explains none of them. It never says which connection is used, what the idempotency key does, or the 5000-character limit. With zero schema coverage, the description had the full burden and did not carry it.

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 and resource ('Publish a reply to an owned Substack comment activity'), which is clear and specific. However, it does not distinguish itself from its closest siblings such as send_reader_reply_draft or create_reader_reply_draft, leaving the agent to infer the difference between replying directly versus drafting then sending.

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?

The word 'owned' hints at a precondition, but there is no explicit when-to-use guidance, no mention of prerequisites, and no routing to alternatives like send_reader_reply_draft or create_reader_reply_draft. The agent must infer the entire selection logic.

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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