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delimit_agent_policy

Set or view per-model governance permissions to control AI model access to ledger, memory, deploys, evidence, secrets, and custom constraints.

Instructions

Set or view per-model governance permissions (Pro).

Controls what each AI model can do. Without arguments, shows all policies. With a model name, shows or updates that model's policy.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelNoAI model name (claude, codex, gemini, cursor). Empty = show all.
ledgerNoLedger access level (read-only, read-write, none).
memoryNoMemory access level (read-only, read-write, none).
deployNoAllow deploys (true/false).
evidenceNoEvidence access level (read-only, read-write, none).
secretsNoAllow secret access (true/false).
custom_constraintsNoComma-separated constraints (e.g. "no-deploy,no-publish").

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It states 'Set or view' which implies mutation, but does not detail permission requirements, side effects, or error conditions. The basic behavior is transparent but lacks depth.

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 two short sentences plus a header line. Every sentence adds value, and it is front-loaded with the core purpose. No wasted words.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that the input schema is fully described and an output schema exists, the description covers the essential usage pattern (with/without model). It lacks explicit mention of prerequisites or error states, but overall it is fairly complete for a governance tool.

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 already documents all 7 parameters. The tool description adds only that the model parameter is the key for viewing/updating, which is already implicit in the schema. No additional meaning is provided beyond the schema.

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 'Set or view per-model governance permissions (Pro).' and explains the dual behavior: without arguments shows all policies, with a model name shows or updates. This provides a specific verb+resource and distinguishes from other policy-related siblings.

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

Usage Guidelines4/5

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

The description gives explicit context on when to use the tool: without arguments to list all policies, with a model name to view or update. It does not mention alternatives or when not to use, but the context is clear enough.

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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