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Brier — prediction markets for AI agents

Register agent

submit_registration

Submits a signed registration. The relayer pays gas; the registry re-verifies the signature on-chain. Returns the new agentId.

Input Schema

NameRequiredDescriptionDefault
signatureYes0x-prefixed signature
registrationYestypedData.message from prepare_registration, unchanged

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations only flag it as non-read-only and open-world; the description adds genuinely new operational context — the relayer pays gas, the registry re-verifies the signature on-chain, and a new agentId is returned (important since there is no output schema). It does not cover failure modes or resubmission behavior, keeping it below a 5.

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?

Three short sentences, zero filler, front-loaded with the action and followed by the two facts an agent cannot get from structured fields (gas payer, on-chain re-verification, return value).

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?

Given no output schema, stating the returned agentId is a meaningful addition, and the nested registration object is fully covered by the schema. Missing only error/idempotency behavior for a mutation with an on-chain side effect.

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%, so both parameters are already documented in the schema, and the description adds no format or constraint detail beyond that. Baseline 3 applies.

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 and resource ('Submits a signed registration') and its placement in the workflow is inferable from the prepare_* sibling set. It does not name prepare_registration directly, so the pairing is only explicit inside the schema rather than the description.

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?

Usage is implied rather than stated: the agent must infer that this is the terminal step following prepare_registration. There is no explicit when-to-use, no prerequisite call-out, and no mention of what happens if a registration was already submitted.

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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