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Glama

green-router

by io.github.jdhart81

quote_footprint

FREE: honest energy/carbon footprint for an agent workload — {backend_id? (frontier_cloud | efficient_cloud | local_small), total_tokens, output_tokens, calls?, success_score?, grid_gco2e_per_kwh?, pue?, custom_backend? {id, wh_per_1k_tokens}}. Returns joules, gCO2e, useful bits, the retirement mass a certificate would carry, every model assumption with its source, and the Landauer context (GR1/GR2).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
workloadYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A3.7/5.0
Behavior4/5

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

In the absence of annotations, the description lists all return values including joules, gCO2e, model assumptions, and Landauer context. However, it does not mention side effects or if it modifies state.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense sentence that packs information but lacks structure. It could be broken into clearer sections for readability.

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?

The description covers both input fields and return values comprehensively. However, it omits context such as prerequisites, error conditions, or operational details.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema only defines an empty object for workload, but the description provides detailed fields: backend_id with enum options, total_tokens, output_tokens, calls, etc. This fully compensates for the 0% schema coverage.

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?

The description clearly states the tool computes 'honest energy/carbon footprint for an agent workload'. It distinguishes itself from siblings like certify, describe_agent, etc., which do not compute footprint.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives. The description only lists parameters and returns, but does not provide context for selection among siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All green-router toolsInspect
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TDQS

A3.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: quote_footprint computes footprint, green_route ranks backends, certify produces certificates, list_green_certificates lists them, verify_green_certificate verifies them, and describe_agent describes the agent. No overlap.

Naming Consistency4/5

Most tools follow a verb_noun pattern (describe_agent, list_green_certificates, quote_footprint, verify_green_certificate), but 'certify' is a single verb and 'green_route' is a noun phrase, causing minor inconsistency.

Tool Count5/5

With 6 tools covering footprint calculation, routing, certification, listing, and verification, the count is well-scoped for a carbon-aware routing service. No tool feels redundant or missing.

Completeness5/5

The tool set covers the full workflow: estimate footprint (quote_footprint), choose green backend (green_route), certify offsets (certify), list certificates (list_green_certificates), and verify certificates (verify_green_certificate). The describe_agent tool adds metadata. No obvious gaps.

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