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Glama

rva_challenge_result

Record typed result dispositions and queue the mandatory result-review gate, capturing evidence for research governance.

Instructions

Backward-compatible alias: record any typed result disposition and queue the generic mandatory result-review gate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
result_claimYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior3/5

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

Annotations already indicate a non-read-only, non-idempotent operation. The description adds the side effect of queueing a generic mandatory review gate and accepting any typed disposition, which is useful context. However, it does not explain what the queued gate does, whether the operation can be retried, or what downstream effects occur.

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 terse sentence with no filler, and the alias status is front-loaded. It is compact and scannable, though the brevity comes at the cost of important operational detail.

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

Completeness2/5

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

The tool has a complex required result_claim object, no output schema, and minimal annotations, yet the description does not explain what fields are required, what dispositions are allowed, or what the result-review gate entails. An agent would not have enough context to construct a valid invocation without external knowledge.

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?

With 0% schema description coverage, the description should explain task_id and result_claim, but it only vaguely references 'typed result disposition'. It does not mention task_id, the required nested fields, or the meaning of the disposition values, leaving agents to infer the structure entirely from the raw schema.

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 specifies a concrete action: record any typed result disposition and queue the mandatory result-review gate. It is not a tautology and includes alias status, but it does not explicitly name the tool it aliases or differentiate itself from siblings like rva_review_result.

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?

There is no guidance on when to use this tool versus alternatives such as rva_review_result or rva_review_next_experiment. The phrase 'Backward-compatible alias' hints at legacy usage but does not state conditions, exclusions, or when another tool would be more appropriate.

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