Check whether a body is valid JSON. The body is discarded.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | HTTPS URL to normalize or cite | |
| host | No | Public hostname | |
| json | No | JSON text to validate; discarded after the check | |
| zone | No | IANA timezone name |
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?
The description discloses an important behavioral trait: the body is discarded after validation, implying a side-effect-free operation. With no annotations, more burden falls on the description, and it does not explain error behavior, return format, or the roles of the url/host/zone parameters.
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?
Two short sentences, each earning its place: one for purpose, one for side-effect. The information is front-loaded and free of fluff.
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?
The description is too thin for a tool with four parameters. It fails to explain the relevance of url, host, and zone to JSON validation, and provides no information about the result format. With no output schema, an agent cannot confidently determine what the tool returns.
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 100%, so the schema already documents each parameter. The description adds no param-specific meaning and even uses 'body' rather than the 'json' field name, creating a minor disconnect, though not enough to lower below baseline.
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 a specific verb ('Check') and resource ('whether a body is valid JSON'), which distinguishes it from the sibling URL/robots/timezone tools. However, it refers to 'a body' instead of the 'json' schema parameter, leaving slight ambiguity about the exact input.
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?
No guidance is given about when to use this tool versus alternatives, prerequisites, or context. The sibling tools are unrelated enough that confusion is unlikely, but the dimension requires explicit usage direction, which is absent.
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.
Several tools overlap in the URL/host space (citation, normalize-url, domain-shape, inspect-robots), so an agent may need to read descriptions carefully to select the right one. The time and HTTP tools are mostly distinct, but 'compatibility' is vague enough to create selection uncertainty.
All names use lowercase kebab-case, but the underlying convention is mixed: verb-first names like normalize-url and validate-json coexist with noun-first compounds like semver-parse and domain-shape, plus bare nouns like citation and timezone. The set is readable but lacks a consistent naming pattern.
For the broad set of read-only utilities exposed, 11 tools is a reasonable count and none feels redundant. However, the scope spans URLs, time, HTTP status, JSON, and semver, which feels slightly broad for a server whose name implies a narrow 'SemVer numbers only' purpose.
The tools cover several useful read-only operations, including URL inspection, time lookups, status codes, JSON validation, and semver parsing. The overall domain is diffuse, and there are notable gaps such as timezone conversion, URL redirect/validation details, and semver comparison.