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Glama

register_agent

FREE: create a new SibFly account and get an API key + free starter credits in ONE call — no human, no captcha, no card. Use this when you have no API key. SAVE the returned api_key and pass it as the Bearer token on later calls (MCP clients: set it as the Authorization header).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesa durable email address (disposable domains rejected)
passwordNooptional; auto-generated and returned if omitted

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNo
passwordNo
credits_usdNo
reports_remainingNo
price_per_report_usdNo

TDQS

A4.6/5.0
Behavior4/5

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

Discloses that the call is free, creates an account, and returns credentials. Annotations already indicate non-readOnly and non-idempotent. Could add detail on email verification or rate limits, but provides solid 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?

Two sentences pack all essential information: free one-step registration, use case, and post-call instructions. No redundant words, front-loaded with key action.

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

Completeness5/5

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

Given the presence of output schema and 100% schema coverage, the description covers purpose, usage, and parameter guidance thoroughly. No missing information for a self-registration tool.

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

Parameters5/5

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

Adds significant meaning beyond the schema: specifies that email must be durable (disposable domains rejected) and that password is optional and auto-generated if omitted. This helps the agent select valid inputs.

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 creates a new SibFly account with an API key and free starter credits in one call. The verb 'create' and resource 'account' are explicit, and the context of no human/captcha/card differentiates it from any potential alternative registration flows.

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?

Explicitly says 'Use this when you have no API key' and instructs to save and reuse the api_key. However, it does not explicitly mention when not to use, such as if the user already has an account.

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

A4.2/5.0
Disambiguation5/5

Each tool targets a distinct function: account management, ground motion queries, batch processing, history, and Q&A. No two tools serve overlapping purposes, and descriptions clearly differentiate them.

Naming Consistency4/5

Most tools use a 'verb_noun' pattern with verbs like get, register, buy, check, ask. However, 'check' is used for two tools (check_ground_motion, check_portfolio) while similar retrieval tools use 'get' (get_motion_history), creating a slight inconsistency in verb choice.

Tool Count5/5

With 9 tools, the server covers account setup, credit management, ground motion queries (single, batch, history), and follow-up Q&A—a well-scoped set that earns each tool's place.

Completeness5/5

The tool surface covers the full lifecycle: account creation (register_agent), credit purchasing (buy_credits), balance/usage (get_account, get_usage), coverage checks (get_coverage), ground motion queries (check_ground_motion, check_portfolio), motion history (get_motion_history), and post-purchase Q&A (ask_inspector). No obvious gaps.