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Weekday vs weekend

inspect-robots

Fetch a public robots.txt and return group counts only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNoHTTPS URL to normalize or cite
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
zoneNoIANA timezone name

Schema Changelog

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

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations, the description must carry the behavioral disclosure burden. It does reveal that this is a public network fetch and that the result is limited to group counts, but it does not mention failure modes, side effects, or behavior when no host/URL is supplied.

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?

One sentence with no filler; 'Fetch a public robots.txt' is front-loaded and 'group counts only' adds an important scope constraint. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a tool with four optional parameters, no output schema, and no annotations, this description is too thin. It omits which parameter identifies the target site, what the 'group counts' structure looks like, and how errors or the absence of a robots.txt are handled.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Although the input schema has descriptions for all parameters, those descriptions appear copied from other tools ('URL to normalize or cite', 'JSON text to validate', 'IANA timezone name') and do not align with the robots.txt task. The description provides no mapping between the fetch operation and the four parameters, leaving the agent unable to confidently choose the correct one.

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 names a specific verb ('Fetch'), a concrete resource ('public robots.txt'), and a clear output scope ('group counts only'). This clearly differentiates it from sibling tools like normalize-url and validate-json, none of which mention robots.

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 given about when to select this tool over alternatives, and there are no prerequisites or explicit exclusions beyond the word 'only'. It states the operation but not a decision rule, so an agent must infer the appropriate use case.

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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TDQS

C2.2/5.0
Disambiguation3/5

Several tools operate on URLs (citation, compatibility, normalize-url, domain-shape, inspect-robots) and several on time (business-day, iana-zones, timezone, utc-time), creating some overlap in input types. The descriptions mostly clarify intent, but citation and compatibility in particular could still be confused.

Naming Consistency2/5

Tool names mix nouns (citation, compatibility, timezone), verb phrases (inspect-robots, normalize-url, validate-json), and compound labels (business-day, iana-zones, utc-time). There is no consistent verb_noun or other naming pattern across the set.

Tool Count2/5

Eleven tools is not excessive numerically, but the server name 'Weekday vs weekend' suggests a single narrow utility, while most tools are unrelated to that purpose. The set feels scattershot rather than deliberately scoped.

Completeness2/5

The tools span URL inspection, time/date, and JSON validation without a unifying domain, so there is no coherent capability surface to complete. Each mini-cluster has gaps, such as URL tools that only inspect and time tools that lack conversions or date arithmetic.