Skip to main content
Glama

get_operation_schema

Fetch one provider API operation's full contract — method, path, parameters, request/response schemas — live from Alter's provider-spec catalog, plus the spec's source and freshness. Get operation ids from list_operations first.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindNoProvider family: oauth (user-authorized) or managed (API-key).
provider_idYesProvider id, e.g. "google" or "github".
operation_idYesOperation id from list_operations, e.g. "gmail.users.messages.list".

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses that the data is fetched 'live from Alter's provider-spec catalog' and that the response includes the spec's source and freshness, which is useful dynamic-behavior context. It does not mention edge cases like invalid operation ids, but for a read-only lookup tool the disclosed behavior is reasonably complete.

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 with no wasted words. The first sentence front-loads the tool's core value and enumerates the returned fields; the second gives the essential prerequisite. Every clause contributes meaningful information.

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?

For a metadata-fetch tool with no output schema and no annotations, the description tells the agent what will be returned, where the data comes from, and how to obtain the required operation_id. It is fully sufficient for an agent to select and invoke the tool correctly.

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 the schema already documents provider_id, operation_id, and kind well. The description adds extra semantic value by specifying that operation_id comes from list_operations and gives an example format. This goes beyond the schema's generic description without duplicating it.

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 opens with a specific verb ('Fetch') and a precise resource ('one provider API operation's full contract'), then enumerates exactly what that contract contains: method, path, parameters, request/response schemas, plus source and freshness. It also distinguishes itself from list_operations by explicitly telling the agent to get operation ids there first.

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 gives a clear prerequisite and sequencing instruction: 'Get operation ids from list_operations first.' This tells the agent when the tool is appropriate relative to a key sibling. It does not explicitly list exclusions or alternative tools like fetch_doc, but the prerequisite plus the concrete output scope provides solid usage guidance.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation4/5

Most tools target clearly distinct concerns: docs, provider operations, SDK wiring, policies, troubleshooting, and verification. However, get_started with no arguments overlaps with list_phases, and fetch_doc/list_skills both provide guidance content, creating minor ambiguity.

Naming Consistency4/5

The set mostly follows a verb_noun pattern: fetch_doc, list_operations, list_providers, verify_integration, troubleshoot. A few names like policy_language, sdk_integration, and sdk_pattern are noun-led, which is a small consistency break but still predictable and readable.

Tool Count5/5

Thirteen tools is well within the ideal range for a focused onboarding server. Each tool contributes to a different part of the onboarding workflow, and none feel redundant or like filler.

Completeness5/5

The server covers the full onboarding journey: docs, lifecycle phases, step-by-step flows, provider API discovery, schema retrieval, SDK integration, SDK patterns, policy grammar, troubleshooting, and verification. There are no obvious dead ends or major missing operations for its stated purpose.

Resources