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oauth_client_create

Register an OIDC relying-party client to enable user login and end-session flows. Post-logout redirect URIs default from redirect origins, reducing setup steps.

Instructions

Register an OIDC relying-party client (enableEndSession on; post-logout URIs default from redirect origins)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
public_clientNo
redirect_urisYes
post_logout_redirect_urisNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.7/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It explicitly discloses two behavior defaults: enableEndSession is on, and post-logout URIs derive from redirect origins. This adds value beyond the schema. However, it does not mention authentication requirements, idempotency, or error behavior, so it's not fully transparent, but for a registration tool the key defaults are covered.

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 a single sentence with no filler. It front-loads the core purpose ('Register an OIDC relying-party client') and then adds two concise behavioral notes. Every word contributes to understanding, achieving high density without verbosity.

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?

There is no output schema and no annotations, so the description must fully equip the agent to call the tool correctly. It lacks information about return values, error handling, idempotency, or what happens on duplicate names. It also doesn't mention required permissions. For a tool with 4 parameters and no other structured metadata, this is a significant gap, leaving the agent with many unanswered questions.

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%, meaning the description compensates for parameter explanation. It only refers to post_logout_redirect_uris (default from redirect origins) and implicitly to redirect_uris, but it does not explain 'name' or 'public_client' at all. The agent would have to infer their meaning solely from the schema, which is insufficient for a low-coverage case. The description adds minimal semantic value.

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 states a specific verb 'Register' and a specific resource 'OIDC relying-party client', which clearly distinguishes it from sibling tools like create_login_link or keys_create. It also mentions two specific behaviors (enableEndSession on, post-logout URIs default from redirect origins) that add precision, making the purpose unambiguous.

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 the tool is for registering an OIDC client, which is a distinct purpose among the siblings, but it does not explicitly state when to use this over alternatives or any exclusions. For example, it doesn't say 'use this when you need a new OAuth client' or mention webhook_allowlist_add or integration_upsert as alternatives. The context is clear but not directly tied to decision-making.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.