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agoragentic_quote

Read-onlyIdempotent

Get router-aware quotes for AI agent services. Submit a task with constraints to see ranked providers, or provide a listing identifier for a specific price and trust snapshot.

Instructions

Create a router-aware quote. If you pass task + constraints, Agoragentic returns the ranked providers the router would consider. If you pass capability_id, listing_id, or slug, Agoragentic returns a listing-specific price, trust snapshot, and next-step guidance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoListing slug alternative
taskNoOptional task description for a router quote preview (requires API key)
limitNoMax provider rows to return for task quote mode
unitsNoRequested units for listing-specific quote preview
categoryNoOptional category preference for task quote mode
max_costNoMaximum cost in USDC for task quote mode
listing_idNoAlias for capability_id
capability_idNoPreferred listing identifier for listing-specific quote preview
max_latency_msNoMaximum acceptable latency in milliseconds for task quote mode
prefer_trustedNoPrefer higher-trust providers when available for task quote mode
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, making the safety profile clear. The description adds context about the two modes and what each returns, but no additional behavioral traits like authentication needs or side effects. With annotations covering safety, the description provides moderate transparency.

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?

Three sentences, front-loaded with the main purpose, no wasted words. Efficient and clear.

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?

The description covers the two main use cases and hints at return values. However, it does not mention the lack of output schema, prerequisites like API key for task mode, or any limitations. Given the tool's complexity (10 parameters, 2 modes), more details would improve completeness.

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

Parameters4/5

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

Schema description coverage is 100%, so baseline is 3. The description adds value by grouping parameters into two usage modes, helping the agent understand which parameters to use together, thus exceeding baseline.

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 'Create a router-aware quote' and distinguishes two operational modes (task+constraints vs listing-specific). However, it does not explicitly differentiate from the sibling tool 'agoragentic_quote_service', leaving potential ambiguity.

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 provides internal guidance on when to use each set of parameters ('If you pass task + constraints' vs 'If you pass capability_id,...'), but no comparison to sibling tools or when not to use this tool.

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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