Skip to main content
Glama

solve

Open and run a hive job in one call: hire solvers through the rails (covenant -> escrow -> meter), force reviewer!=author cross-review, synthesize only what survives review, settle every escrow exactly-once, and return a content-addressed audit hash plus bits-per-joule telemetry. Price: $5.00 per solve; model-backed solves have no free tier because provider cost must be covered. Sub-hires settle via escrow at each solver's list price.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
depthNo
fee_bpsNo
problemYes
subtasksNo
redundancyNo
request_idNo
covenant_idNo
payment_refNo
budget_minorYes
accept_thresholdNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden. It extensively discloses behavior: hiring solvers, cross-review enforcement, synthesis, escrow settlement, audit hash and telemetry return, and pricing. This is highly transparent.

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

Conciseness4/5

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

The description is a single dense paragraph that front-loads the primary action. It is reasonably concise, but the list of steps could be better structured with bullet points or separation for improved readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (11 parameters, no annotations, no output schema details in description), the description provides a solid overview of the workflow and side effects but lacks details on parameter semantics, error handling, and edge cases. It is somewhat complete but not fully.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It mentions several key parameters (problem, budget_minor, subtasks, redundancy, covenant_id, payment_ref) but fails to explain seed, depth, fee_bps, request_id, and accept_threshold. This partial coverage is adequate but not comprehensive.

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 tool's purpose: 'Open and run a hive job in one call' followed by a detailed list of steps. It effectively distinguishes this tool from sibling tools like audit_job, job_status, etc., which serve auxiliary roles.

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 usage by describing the tool's function but does not explicitly state when to use this tool versus alternatives, nor does it provide contraindications or prerequisites.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation5/5

Each tool targets a distinct operation: auditing, describing agents, checking job status, listing solvers, solving jobs, and verifying audits. No overlap in purpose.

Naming Consistency5/5

All tool names follow a consistent verb_noun snake_case pattern (e.g., audit_job, describe_agent). The naming is clear and predictable.

Tool Count5/5

Six tools is well-scoped for an orchestrator server, covering essential operations without unnecessary bloat or missing core functionality.

Completeness4/5

The tool surface covers agent description, solver listing, job execution, status checking, auditing, and verification. A minor gap is the absence of a tool to list all jobs, but the core lifecycle is complete.