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Recipes Agentic Control Plane Blueprint

recipes_agentic_control_plane_blueprint

Return the acquisition-ready agentic control plane architecture and buyer evidence map.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusNo
layer_idNo
question_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It implies a read ('Return') but does not state whether the operation is read-only, what permissions are needed, whether results are cached/refreshed, or what filtering does. It adds only marketing-style framing ('acquisition-ready') rather than behavioral facts.

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?

A single short, front-loaded sentence with no filler or redundancy. It is efficient, though its brevity is partly under-specification rather than disciplined 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?

An output schema exists so return values needn't be explained, but with no annotations and three undocumented filter parameters at 0% coverage, the definition leaves too much to inference. It does not say how the optional filters interact or what the blueprint contains at a glance.

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?

Three filter parameters (status, layer_id, question_id) have 0% schema description coverage and are never mentioned in the description, so the agent cannot tell what values are valid or what each filter scopes. Parameter names are loosely inferable, but nothing compensates for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('Return') and a named resource ('agentic control plane architecture and buyer evidence map'), so an agent understands what comes back. However it offers no differentiation from the many sibling 'recipes_agentic_*' packs (assurance_pack, posture_snapshot, system_bom), leaving the reader unsure why this one is distinct.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool, when not to, or which sibling to prefer instead. The phrase 'acquisition-ready' hints at a diligence/buyer context but never says so explicitly as a usage condition.

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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