toml_schema_validate
Validate TOML config against JSON Schema (Draft 7) in one step.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| toml | Yes | TOML document text | |
| schema | Yes | JSON Schema (Draft 7) | |
| max_errors | No |
Validate TOML config against JSON Schema (Draft 7) in one step.
| Name | Required | Description | Default |
|---|---|---|---|
| toml | Yes | TOML document text | |
| schema | Yes | JSON Schema (Draft 7) | |
| max_errors | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden of behavioral disclosure. It only states the action and does not reveal what happens on validation failure, how errors are reported, the effect of the max_errors parameter, or any side effects. The description is insufficient for an agent to understand the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is concise and front-loaded with the action verb 'Validate'. It contains no fluff and every word serves a purpose. It efficiently conveys the core function.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool complexity (validating TOML against JSON Schema with a configurable error limit) and the lack of output schema, the description is too brief. It omits important details like return format, the meaning of max_errors, and how validation errors are presented. A more complete description would cover these aspects.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 67% (2 of 3 parameters have descriptions in the schema). The description does not add any additional context to the parameters; it merely repeats the general purpose. Since coverage is below 80%, the description should compensate but does not. The max_errors parameter is not mentioned at all.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the verb 'Validate' and specifies the resource: 'TOML config against JSON Schema (Draft 7) in one step.' It distinguishes from sibling tools like toml_validate (which likely validates only TOML syntax) and json_schema_validate (which validates JSON against schema). This provides a specific and actionable purpose.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description lacks any guidance on when to use this tool versus alternatives or when not to use it. It does not mention that users could separately validate TOML syntax with toml_validate and then apply json_schema_validate. The one-step nature is implied but no explicit usage context is given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool has a clear, distinct purpose with thorough descriptions. Even closely related tools like base64_decode/encode and hash_md5/sha256 are easily differentiated by name and description.
All tools follow a consistent lowercase_underscore naming convention, typically in a <domain>_<action> or <action>_<domain> pattern. There are no jarring deviations or mixed styles.
193 tools is an extreme count, far beyond what any focused server needs. While each tool has utility, the sheer number creates a kitchen-sink effect that overwhelms agents and hinders discoverability.
Within each subdomain (JSON, cron, JWT, etc.), the coverage is exhaustive, covering validation, conversion, parsing, and more. Minor gaps exist (e.g., YAML-to-TOML conversion missing), but overall it is remarkably complete.