Skip to main content
Glama

playground_renderer

Render an interactive HTML API playground for a list of endpoints. Returns self-contained HTML with try-it-out forms.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoPlayground title
base_urlNoBase URL for requests
endpointsYesArray of {method, path, summary, parameters?, requestBody?}

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses that the output is self-contained HTML with try-it-out forms, which is key behavioral context. However, it does not address potential side effects, prerequisites, or error handling, leaving some transparency gaps.

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 concise sentences, front-loaded with the action verb 'Render', and contains no redundant information. Every word earns its place.

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 renderer with three parameters and no output schema, the description covers the core function and return value. It lacks usage context and interaction details but is mostly complete given the tool's simplicity.

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 describes all three parameters with 100% coverage, so the description adds no additional parameter-specific meaning. Per the rubric, baseline 3 is appropriate when schema coverage is high.

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 ('Render') and identifies the resource ('interactive HTML API playground') for 'a list of endpoints'. This clearly distinguishes it from sibling tools like api_executor and code_generator, which handle execution and code generation respectively.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. The description only states what it does, leaving the agent to infer the use case without any explicit context or exclusions.

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
Disambiguation5/5

Each tool addresses a distinct phase of the API playground workflow: parsing, rendering, executing, code generation, and history tracking. No two tools overlap in purpose, so an agent can select the right one without ambiguity.

Naming Consistency5/5

All tool names follow the same pattern: a domain noun combined with an agent suffix (e.g., api_executor, schema_parser, history_tracker). This consistent structure makes the set predictable and easy to navigate.

Tool Count5/5

The server has 5 tools, which is well within the ideal range. Each tool contributes a unique, essential capability to the playground experience, with no bloat or redundancy.

Completeness5/5

The tool set covers the entire lifecycle of building and using an API playground: parse a schema, render an interactive UI, execute live requests, generate code snippets, and inspect history. No obvious gaps or dead ends exist.