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Guided Validate

guided_validate

Execute validators mapped to a vulnerability class on an in-scope asset. Returns outcome summaries and files findings; if no scanner owns the class, returns an evidence checklist.

Instructions

[AGGRESSIVE — requires human approval] Run the validators the research playbook names for a class, on an asset.

vuln_class (fuzzy names work) and asset (a URL in scope) are the same inputs research_guidance takes; this tool goes one step further and executes the validators the coverage matrix wires to the class, capped at limit tools. Classes whose validation row is manual/none return the evidence checklist instead of dispatching anything — the honest answer is "no scanner owns this", and the checklist is what a report needs.

Every dispatched validator goes through the control plane again (scope, rate, budget, approval) — guidance never becomes an unapproved action. Returns the playbook plus a per-validator outcome summary; validators that prove something file their own findings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetYes
limitNo
stackNo
evidenceNo
vuln_classYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observedv2.1.0

TDQS

A4.1/5.0
Behavior5/5

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

The description discloses important side effects: validators can be dispatched, are capped by limit, go through the control plane for scope/rate/budget/approval, and may file their own findings if they prove something. It also states that manual/none classes do not dispatch and instead return a checklist.

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 somewhat verbose and repeats the idea of returning a checklist versus dispatching, but it is organized and each sentence carries meaningful behavior. It is longer than necessary but not distractingly so.

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?

The description covers the main behavior, return type, and side effects, and mentions the control plane approval requirement. It does not describe the exact output schema, but the narrative summary plus the provided output-schema signal is likely sufficient for an agent to understand the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The description explains vuln_class, asset, and limit, but stack and evidence are not described at all. Since the schema has zero description coverage, the description needed to clarify all parameters and only partially does so.

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 the tool runs validators for a given vulnerability class against an asset, and differentiates it from research_guidance by going one step further to execution. It names the primary inputs and the action taken.

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?

It explains when to use this tool: when you want to execute the validators associated with a vulnerability class on an asset. It also notes that manual/none validation classes return an evidence checklist instead of dispatching, giving useful selection guidance, though it does not explicitly list when not to use it.

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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