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NishikantaRay

Renderer MCP Server

validate_toml_config

Validate TOML configuration syntax and structure for Renderer portfolios. Detect common errors and get suggestions for home, projects, blog, resume, or social configs.

Instructions

Validate TOML configuration syntax and structure. Checks for common errors and provides suggestions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
config_typeYesType of configuration file
config_contentYesThe TOML configuration content to validate

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

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 behavioral burden. It discloses that the tool checks for errors and provides suggestions, implying a read-only validation operation, but it does not state whether the operation has side effects, what the return format looks like, or whether it writes anything. The lack of explicit non-mutating disclosure is a gap, though the validation intent is conveyed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences with no fluff. The first sentence states the core action, and the second adds a useful behavioral detail. The only minor redundancy is 'Checks for common errors' overlapping somewhat with 'Validate', but it still earns its place by introducing the suggestion feature.

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?

For a low-complexity tool with 100% schema coverage and no output schema, the description covers the core action and expected behavior. However, it omits return value structure and explicit usage timing, which an agent would need to fully trust the call. A little more detail about what constitutes a successful validation would improve completeness.

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 description coverage is 100%, and both parameters have descriptive names and descriptions in the schema. The description adds no additional parameter-level meaning, so the baseline score of 3 applies. The config_type enum is documented in the schema, and the description does not need to repeat 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 states a specific verb ('Validate'), a clear resource ('TOML configuration'), and the exact scope ('syntax and structure'). It also mentions the outcome ('Checks for common errors and provides suggestions'), which fully differentiates this tool from its sibling tools that handle documentation exploration and example generation.

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 implies the tool's use case—validating TOML configurations—but does not explicitly say when to use it versus alternatives. No exclusions or alternative tool references are provided. However, the sibling tools are clearly unrelated to validation, so the usage context is reasonably clear but still left implicit.

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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