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update_convo

Update conversation status (open/closed/archived/snoozed) or assignee.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stateNoNew status
apiKeyNoSend16 API key (overrides SEND16_API_KEY env var)
convoIdYesConversation ID
assigneeIdNoWorkspace member user ID, or null to unassign

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changed
    • changedInput schema / properties / assigneeId / description
      Previous value: -"Workspace member ID, or null to unassign"New value: +"Workspace member user ID, or null to unassign"
    • removedInput schema / properties / starred
      Removed value: -{
      -  "description": "Star/unstar",
      -  "type": "boolean"
      -}
    • changedInput schema / properties / state / description
      Previous value: -"New state"New value: +"New status"
    • changedInput schema / properties / state / enum
      Previous value: -[
      -  "open",
      -  "closed",
      -  "snoozed",
      -  "spam",
      -  "trash"
      -]New value: +[
      +  "open",
      +  "closed",
      +  "archived",
      +  "snoozed"
      +]
  2. First observed

TDQS

B3.2/5.0
Behavior2/5

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

With no annotations provided, the description must carry behavioral disclosure. It indicates a mutation ('update') but does not describe side effects, reversibility, permission requirements, or whether changing status affects related data. The behavior is minimally transparent beyond the action itself.

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?

The description is a single, front-loaded sentence that efficiently conveys the tool's purpose. No filler or redundant content; each word contributes to understanding.

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 mutation tool with no output schema and no annotations, the description is sparse. It does not explain whether state and assignee can be updated together, what the return value is, or any failure modes. The parameter descriptions cover the 'what' but not the 'so what' or edge cases.

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% — every parameter (state, apiKey, convoId, assigneeId) is already described with clear meanings. The description adds no semantic value beyond repeating the state enum and 'assignee' concept, so baseline 3 applies.

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 specifies the verb 'Update' and the resource 'conversation' with exact modifiable aspects: status (enumerated) or assignee. This distinguishes it from sibling tools like mark_convo_read or add_convo_note, making the purpose immediately 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 guidance is provided on when to use this tool versus alternatives. It does not state exclusions (e.g., use mark_convo_read for read state) or prerequisites (e.g., need workspace permissions). The description only states what it does, not when to invoke it.

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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