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patch_persona

Modify existing AI personas by applying JSON patch operations to update their attributes and behaviors for video generation and conversational AI applications.

Instructions

Update a persona using JSON patch format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
persona_idYesUnique identifier for the persona
patchYesJSON patch operations (RFC 6902)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states 'Update' implying mutation, but doesn't cover critical aspects like required permissions, whether changes are reversible, error handling, or rate limits. The mention of 'JSON patch format' adds some technical context, but overall behavioral traits are insufficiently described for a mutation tool.

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, efficient sentence that directly states the tool's purpose without redundancy. It's appropriately sized and front-loaded, with every word contributing essential information (update action, target resource, and method). No extraneous details are included.

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?

Given this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks information on behavioral aspects (e.g., side effects, error cases), output format, or usage context. While the schema covers parameters well, the overall context for safe and effective use is insufficient.

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%, so the schema fully documents both parameters ('persona_id' and 'patch'). The description adds minimal value by specifying 'JSON patch format', which hints at the 'patch' parameter's structure but doesn't provide additional semantics beyond what the schema already covers. This meets the baseline for high schema coverage.

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 clearly states the action ('Update') and resource ('a persona'), and specifies the method ('using JSON patch format'). It distinguishes from siblings like 'create_persona' or 'delete_persona' by focusing on partial updates. However, it doesn't explicitly contrast with 'get_persona' or other update-related tools, keeping it from a perfect score.

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 description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing an existing persona), compare to other update methods, or specify scenarios where JSON patch is preferred over full updates. This lack of context leaves the agent without usage direction.

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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