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List saved replies

list_saved_replies
Read-only

The organization's saved replies — the texts the team uses to answer comments and messages. Prefer them over new wording when one fits, and pass its id as savedReplyId. {{name}} and {{firstName}} are filled with the person's name by the app; when you send one, fill them yourself. Read-only: creating or editing them is done in the app. Needs the organization's "Let AI assistants answer comments and messages" setting (owner-only; without it the api answers MCP_INBOX_DISABLED) and a connection authorized with the comments/chat permissions — one authorized before they existed must reconnect, and a client that kept its own registration from before then must remove PostRite and add it again.

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": "list_saved_replies"
  }
}

Input Schema

NameRequiredDescriptionDefault
organizationIdNoOrganization to act in — an id from list_organizations. Required when this connection was authorized for more than one organization; omit it when there is only one.

Output Schema

NameRequiredDescriptionDefault
itemsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered structurally. The description adds genuinely valuable operational context beyond that: the owner-only org setting, the MCP_INBOX_DISABLED error code, the comments/chat permission requirement, and the reconnect/re-registration caveat. That is well above the annotation baseline, but the mid-sentence shift between template placeholders and auth prerequisites makes the behavioral disclosure harder to absorb than it should be.

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 and usage come first, which is the right order, and every sentence contains operationally useful content rather than filler. The trailing sentence, however, chains the org setting, error code, permission scope, reconnect rule, and client re-registration rule into one dense run-on that could be split for scannability.

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

Completeness5/5

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

For a one-parameter read tool with an output schema and full annotation coverage, this is thorough: it explains what the items are, how placeholders behave, which setting gates the call, what error signals a disabled feature, and what permission state is required. An agent has everything needed to call it correctly and to interpret a failure.

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 100% and organizationId is already documented in detail (id from list_organizations, omit when single-org), so the description does not need to re-explain it. The only parameter-adjacent guidance it offers is about savedReplyId, which belongs to a different tool. Baseline 3 applies when the schema carries the parameter burden.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the specific resource (the organization's saved replies), defines what they are (the texts the team uses to answer comments and messages), and makes the read-only nature explicit. An agent can distinguish this from list_templates or create_template without opening any schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives an explicit preference rule ('prefer them over new wording when one fits'), tells the agent exactly what to do with a match ('pass its id as savedReplyId'), and excludes a whole class of use ('creating or editing them is done in the app'). Nothing about when-to-use is left to inference.

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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