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register_flow

Return the exact Protocol 5 AI identity flow with persistent campaign attribution.

Input Schema

NameRequiredDescriptionDefault
intentNo
campaignNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.4/5.0
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, yet it does not say whether this mutates state, requires authentication, is idempotent, or what it returns. 'Register' vs 'Return' leaves the read/write semantics genuinely ambiguous for a tool with side-effect implications.

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 efficient sentence with no wasted words, and the core action is front-loaded. It is terse rather than bloated, though the brevity comes at the cost of substance.

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?

For a tool with an undocumented enum parameter, no annotations, and no output schema, the one-line description is far too thin. Nothing tells the agent what the flow payload contains or how the two parameters interact.

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?

Schema description coverage is 0%, so the description must compensate, but it never explains the four 'intent' enum values (play, create, certify, feedback) or the 'campaign' parameter beyond the vague phrase 'persistent campaign attribution'. An agent cannot determine valid intent usage from either source.

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

Purpose3/5

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

The description gives a verb ('Return') and a named resource ('Protocol 5 AI identity flow'), but the resource is opaque jargon and the verb conflicts with the name 'register_flow', which implies registration rather than retrieval. It offers no differentiation from the many '*_flow' siblings such as create_flow, certify_flow, or feedback_flow.

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 alternative sibling to prefer. The intent enum hints at multiple usage contexts, but the description never explains how they map to calling this tool versus others.

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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