verify_chain
Verify the tamper-evident hash chain of an agent's ledger.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Verify the tamper-evident hash chain of an agent's ledger.
| Name | Required | Description | Default |
|---|---|---|---|
| agent_id | Yes |
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It implies a verification operation but does not disclose return format, behavior on tamper detection, permissions required, or side effects. This is minimal for a verification tool.
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?
The description is a single, front-loaded sentence with no unnecessary words. It effectively states the core purpose.
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?
Despite having an output schema, the description lacks key behavioral context such as what constitutes a valid chain, error handling, or relation to sibling verification tools. The inclusion of siblings creates ambiguity that the description does not resolve.
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 description adds some meaning to agent_id by referencing 'an agent's ledger', but it does not explain the format, constraints, or how to obtain the agent_id. Given 0% schema coverage, this partial compensation is not enough to fully clarify.
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 uses a specific verb ('Verify') and identifies the resource ('tamper-evident hash chain of an agent's ledger'). It distinguishes from siblings like verify_inventory_chain by focusing on the agent's ledger, though it does not explicitly name alternatives.
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 description provides no guidance on when to use this tool versus alternatives like verify_attestation or verify_inventory_chain. There is no context about prerequisites or exclusions.
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.
Most tools have clearly distinct purposes: recording work, recording inventory, listing, verifying, and attesting. 'attest' and 'carbon_receipt' are somewhat related but serve different functions (general attestation vs. carbon-specific receipt), so they are not easily confused.
The majority follow a verb_noun pattern (record_work, list_entries, verify_chain), but 'carbon_receipt' and 'footprint' are noun-only, and 'attest' is verb-only. This slight inconsistency in verb usage makes the pattern less predictable.
With 12 tools, the server is well-scoped for a compute ledger and carbon accounting domain. Each tool covers a distinct concern—recording, querying, verifying, and summarizing—without redundancy.
The surface covers the full lifecycle: recording compute work and inventory, retrieving and listing data, verifying chains and attestations, and generating summaries. No obvious gaps exist for the stated domain.