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quantum_preflight

Pre-flight check before agent-to-agent interaction. Verifies identity, trust, recommends escrow or direct.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agent_didNoDID or node_id of agent to check
target_taskNoPlanned interaction

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden of disclosing behavior. It does reveal the key actions (verifies identity and trust) and the decision output (recommends escrow or direct), but it does not state whether the check is read-only, whether any permissions are required, or what the exact return structure looks like. This is adequate but leaves room for more context.

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 two sentences long, front-loaded with the tool's purpose, and contains no filler. Every word contributes to understanding what the tool does and what it outputs.

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 two-parameter tool with no output schema, the description offers enough context to understand its role and outcome. It mentions the key decision (escrow vs. direct), which partially compensates for the missing output schema. It could be slightly more explicit about return value, but overall it is complete for most use cases.

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?

The schema provides 100% coverage of the two parameters, so the baseline is 3. The description does not explicitly explain the parameters, but the schema already describes 'agent_did' and 'target_task'. The description adds minimal meaning beyond the schema, just hinting at the 'planned interaction' context.

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 a specific verb ('Pre-flight check'), a resource ('before agent-to-agent interaction'), and a distinctive outcome ('Verifies identity, trust, recommends escrow or direct'). This distinguishes it from sibling tools like quantum_scan or quantum_trust_passport by defining its pre-interaction role and advisory nature.

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

Usage Guidelines4/5

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

The phrase 'before agent-to-agent interaction' provides clear contextual guidance on when to use the tool. It does not explicitly mention when not to use it or name alternatives, but the pre-flight positioning is sufficiently clear to guide selection among the sibling tools.

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

C2.9/5.0
Disambiguation2/5

Several tools have unclear boundaries: quantum_ask and quantum_intent both serve as natural language 'front doors' with similar descriptions, and quantum_route and quantum_refer both find the best oracle for a task. This creates significant overlap that could cause agents to select the wrong tool.

Naming Consistency4/5

Most tools follow a consistent quantum_<verb_or_noun> snake_case pattern (e.g., quantum_join, quantum_execute, quantum_settle). The single exception is neural_status, which breaks the prefix convention, but overall the naming is predictable and readable.

Tool Count3/5

With 20 tools, the server sits in the heavy range (16-25). While the broad scope of OracleNet (intelligence, natural language, deals, reputation, subscriptions, scanning) somewhat justifies the count, it feels overpacked and could be streamlined by merging overlapping tools.

Completeness3/5

The tool surface covers core workflows: joining, querying status/nodes/reputation, routing, executing, dealing, settling, rating, and subscribing. However, lifecycle gaps exist—no unsubscribe, leave/delete node, deal cancellation, or dispute resolution—which can leave agents with dead ends.

Resources