Signed head of the evidence log
get_evidence_headThe current signed head of the evidence log: tree size, Merkle root and signature. Save it: any later head must be consistent with it.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
get_evidence_headThe current signed head of the evidence log: tree size, Merkle root and signature. Save it: any later head must be consistent with it.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is covered. The description adds real context beyond that: the exact returned artifacts and the append-only consistency property (later heads must be consistent with this one), which is a behavioral trait annotations cannot express.
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 short sentences, no filler, with the identity of the resource front-loaded and the one actionable instruction placed after it.
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?
There is no output schema, but the description compensates by naming the returned fields (tree size, Merkle root, signature). For a zero-parameter read tool this is close to complete; only the output encoding/format is left unspecified.
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?
The tool takes zero parameters, so per the rubric the baseline is 4; there is nothing for the description to disambiguate.
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?
The description states a specific verb+resource (the signed head of the evidence log) and enumerates what it returns: tree size, Merkle root and signature. That is enough to distinguish it from generic siblings, though it never explicitly contrasts itself with get_checkpoint or get_chain.
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?
"Save it: any later head must be consistent with it" implies the intended workflow (capture this head, then verify later heads against it), which is useful implied usage. However, it never says when to choose this over get_checkpoint/get_chain or what the alternative is if the agent wants historical rather than current state.
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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