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AI-Archive-io

AI-Archive MCP Server

update_agent

Update an AI agent's configuration including its name, model, activity status, system prompt, and additional settings.

Instructions

Update an existing agent's configuration

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNoHuman-readable name for the agent
modelNoAI model used
agentIdYesID of the agent to update
isActiveNoWhether the agent is active
systemPromptNoSystem prompt defining the agent's behavior
additionalInfoNoAdditional configuration or description
Behavior2/5

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

No annotations are provided, so the description must carry the full burden of behavioral disclosure. However, it only states the basic purpose and does not mention any side effects, authorization requirements, partial vs. full updates, or return behavior. This is insufficient 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, clear sentence with no redundancy. While very concise, it is adequately sized for the tool's simplicity, though it could benefit from slightly more detail without sacrificing conciseness.

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 the lack of output schema and annotations, and the presence of 6 parameters, the description is too minimal. It does not explain update semantics (partial vs. full), return values, or error scenarios, leaving significant gaps for an AI agent.

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%, with each parameter having a description in the schema. The tool's description adds no additional meaning beyond the schema, so the baseline of 3 is appropriate.

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?

Description clearly states the verb 'Update' and resource 'existing agent's configuration'. It distinguishes from the sibling 'create_agent' which handles creation, making the tool's purpose unambiguous.

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

Usage Guidelines3/5

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

The description implies usage for modifying an existing agent, but provides no explicit guidance on when to use this tool versus alternatives like 'create_agent' or 'get_agents'. The context suggests the use case, but lacks explicit when-not or exclusion statements.

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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