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mastyf-ai

mastyf-ai

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suggest_policy_improvements

Compare observed behavior against current policy and suggest additions or removals to align policy with actual usage.

Instructions

Compare observed behavior against current policy and suggest additions/removals

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
existingPolicyYamlNoCurrent policy YAML to diff against
Behavior3/5

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

No annotations provided. The description says 'suggest additions/removals', implying it returns suggestions without modifying the policy, but does not disclose whether it is read-only, what permissions are needed, or what side effects occur. It provides some transparency but lacks detail on behavioral traits.

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 one sentence with no wasted words. It is front-loaded with the main action. Could be slightly improved by adding more context without being verbose, but it is appropriate for a relatively simple tool.

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?

The description lacks crucial information: no mention of how observed behavior is obtained (prerequisite of an observation session?), no output format (list of additions/removals?), and no explanation of required inputs beyond the existing policy. Given no output schema and no annotations, the description is insufficient for a complete understanding.

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 one parameter well-described in the schema. The description does not add significant meaning beyond 'compare against current policy'. It fails to explain where 'observed behavior' comes from or how it relates to the input, which is a gap despite good schema coverage.

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 uses specific verb 'Compare' and 'suggest' with resource 'policy', and outcome 'additions/removals'. It clearly distinguishes from siblings like generate_policy_from_observations (create from scratch) and tune_policy_rule (adjust single rule).

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 context (when you have existing policy and observed behavior to diff against), but does not explicitly state when to use this tool versus alternatives like ab_test_policy or tune_policy_rule. No 'use this when' or 'do not use' guidance.

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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