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Glama

agent-compute-ledger

get_inventory

Fetch one immutable inventory record by inventory_id.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inventory_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the burden of behavioral disclosure. The adjective 'immutable' adds meaningful context that the record is unchanging, implying a safe read operation. However, it does not elaborate on error handling, authentication, or response format beyond this minimal trait.

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 action and key qualifier ('immutable') and is appropriately sized for the tool's simplicity.

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?

For a simple single-record fetch with one parameter and an existing output schema, the description covers the essential purpose and even adds the immutable trait. It does not explain return values, but that is covered by the output schema. The main gap is the lack of broader context such as failure modes, which is partially acceptable given the low complexity.

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%, and the description only mentions 'inventory_id' without explaining its format, source, or meaning beyond the name. While the parameter name is self-explanatory, the description adds minimal value in terms of semantics, leaving the agent to infer details from the schema alone.

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 clearly states the verb 'Fetch' and the resource 'one immutable inventory record' with a specific parameter 'inventory_id'. It distinguishes from sibling tools like 'list_inventories' by emphasizing a single record lookup. The purpose is unambiguous and specific.

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 when to use the tool (when you have an inventory_id and need a single record) but does not explicitly mention alternatives or exclusion scenarios. It provides clear context for a direct ID-based fetch, but lacks an explicit 'use this instead of' note.

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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TDQS

B3.3/5.0
Disambiguation4/5

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.

Naming Consistency3/5

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.

Tool Count5/5

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.

Completeness5/5

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.