commit_evidence
Create a Merkle commitment for an evidence bundle hash. Used as the first step in ZK proof generation for Tier 3 assurance.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bundleHash | Yes | SHA-256 hash of the evidence bundle |
Create a Merkle commitment for an evidence bundle hash. Used as the first step in ZK proof generation for Tier 3 assurance.
| Name | Required | Description | Default |
|---|---|---|---|
| bundleHash | Yes | SHA-256 hash of the evidence bundle |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=false and destructiveHint=false, so the agent knows this is a non-destructive write; the description is consistent with that. It adds no detail on side effects, idempotency, or whether reruns produce duplicate commitments.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two tight sentences that front-load the action, with the workflow positioning as supporting context. No filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-parameter, non-destructive write tool this covers the essentials. With no output schema, it could mention what the commitment returns, but nothing critical to correct invocation is missing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so bundleHash is fully documented in the schema. The description adds no format or semantic detail beyond what the schema already provides. Baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ('Create a Merkle commitment for an evidence bundle hash') and clarifies the input it operates on. It is distinguishable from siblings like submit_evidence_hash and verify_evidence_zk, though it does not name them explicitly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The phrase 'first step in ZK proof generation for Tier 3 assurance' implies the workflow context and ordering, but no alternatives, prerequisites, or when-not-to-use conditions are given. Usage is only implied.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.