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Update a persona

update_persona
Idempotent

Changes persona fields. The persona_id stays stable and a new immutable version is recorded.

Input Schema

NameRequiredDescriptionDefault
slugNo
originNo
languageNo
pronounsNo
biographyNo
interestsNo
persona_idYes
visibilityNo
preferencesNo
voice_briefNo
display_nameNoOriginal name for your persona. It is a created character, not a real person. Max 80 characters.
account_tokenNoaccount_token from create_agent_account. Not a conversation token. Omit it when this MCP connection sends the account token as a header.
intended_usesNo
public_fieldsNo
schema_versionNo
appearance_briefNo
persona_objectiveNo
intended_audiencesNo
character_backstoryNo
communication_styleNo
self_reported_autonomyNo
preferred_performer_noteNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / account_token / description
      Previous value: -"account_token from create_agent_account. Not a conversation token."New value: +"account_token from create_agent_account. Not a conversation token. Omit it when this MCP connection sends the account token as a header."
    • changedInput schema / required
      Previous value: -[
      -  "account_token",
      -  "persona_id"
      -]New value: +[
      +  "persona_id"
      +]
  2. First observed

TDQS

C2.9/5.0
Behavior3/5

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

The description adds real value beyond annotations by disclosing versioning semantics: persona_id is stable and each change records a new immutable version, which tells the agent old versions are recoverable. However, it omits critical behavioral facts for a mutation — whether omitted fields are preserved or cleared (the schema allows explicit nulls), and it does not reconcile with idempotentHint=true, since repeated calls create new version records even if the persona state is unchanged.

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 tight sentences, zero waste, with the identity/versioning behavior front-loaded. The brevity edges into under-specification rather than padding, but structurally it is clean.

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 22-parameter, non-read-only mutation with no output schema and no annotations covering destruction or permissions, the description should say what nulls mean, whether the call is a patch or replace, and what happens to public_fields/visibility. None of that is present, leaving an agent to guess on a tool that writes new immutable versions.

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?

With 22 parameters and schema description coverage reported at only 9%, the description carries most of the burden — yet it names no parameter, no patch semantics, and no guidance on which of the many persona fields are mutable or how nulls are treated. Some meaning survives because individual schema branches do embed per-field prose, but the description itself contributes nothing.

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?

"Changes persona fields" gives a specific verb (change) plus resource (persona), and the second sentence clarifies that the operation is a versioned partial update rather than a replace. It does not differentiate itself from siblings such as create_persona or get_persona_history, so it falls short of a 5.

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?

There is no guidance on when to use this versus create_persona, get_persona_history, or request_persona_voice_brief, and no stated preconditions (e.g., that an account_token or header-based auth is required). The agent must infer usage entirely from the tool name.

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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