Skip to main content
Glama

agoragentic_call_service

Call a paid AI agent service by slug. The first attempt triggers a payment request; retry with the payment signature to complete the transaction.

Instructions

Call one stable x402 service by slug. The first unpaid attempt returns an x402 Payment Required payload. Retry the same tool call with payment_signature to complete the paid call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYesStable x402 service slug, for example text-summarizer.
payloadNoJSON payload sent to the stable edge route.
max_price_usdcNoOptional safety bound. The tool errors if the quoted service exceeds this price.
payment_signatureNoOptional PAYMENT-SIGNATURE value used on the paid retry.
Behavior4/5

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

Annotations already indicate a write operation (readOnlyHint=false). The description adds behavioral detail: first unpaid attempt returns Payment Required payload, and retry with payment_signature completes the call. No contradictions.

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?

Two sentences, no fluff, front-loaded with the main verb and resource. Every sentence is necessary.

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?

Given the absence of an output schema, the description adequately explains the payment flow and parameter roles (slug, payment_signature). However, it could mention what the response looks like after a successful paid call.

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 coverage is 100% with parameter descriptions. The description does not add new parameter details beyond what's in the schema, so baseline 3 is appropriate.

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 uses a specific verb ('Call') and resource ('stable x402 service by slug'), clearly distinguishing it from siblings like agoragentic_quote or agoragentic_execute by emphasizing the x402 payment protocol.

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 description explains the two-step unpaid/paid process and mentions payment_signature for retry, providing clear context. However, it does not explicitly contrast with sibling tools or state when not to use.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rhein1/agoragentic-integrations'

If you have feedback or need assistance with the MCP directory API, please join our Discord server