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AxonityAI

Axonity Flow MCP Server

Official
by AxonityAI

attach_policy_to_agent

Attach a policy to an agent to define the rules and permissions the agent must follow when executing tasks.

Instructions

Scope a policy to a agent so the agent uses it. Verify it landed with list_agent_policies before request_publish_agent — the link lives outside the entity body, so re-reading the agent will not show it.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYes
policyIdYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.4.0

TDQS

A4.5/5.0
Behavior4/5

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

No annotations provided, so description carries full burden. It discloses a key behavioral trait: the policy link is not reflected in the agent's entity body, so re-reading the agent won't show it. This is valuable for understanding the tool's behavior.

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?

Two sentences with zero wasted words. The description is efficient and front-loaded with the core purpose, followed by essential usage guidance.

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 simple two-parameter tool with no output schema, the description is complete. It explains the action, its effect, and a verification step. No additional information is necessary.

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 has 0% description coverage for parameters. The name and description imply that agentId and policyId are required, but no explicit details about format or constraints are given. This minimal compensation earns a baseline score.

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 clearly states that the tool scopes a policy to an agent so the agent uses it. The verb 'scope' and the resource 'policy to agent' are specific, and the context of verifying with list_agent_policies distinguishes it from other tools.

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?

Explicitly instructs to verify the attachment with list_agent_policies before request_publish_agent, and explains why (the link lives outside the entity body). This provides clear when-to-use and what to check after.

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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