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Snowflake id shape

utc-time

Current UTC timestamp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
refNoGit ref name; discarded after the shape check
urlNoHTTPS URL to normalize or cite
cityNoCity name for a public weather hint; discarded after the call
feedNoPublic RSS or Atom URL; titles discarded
hostNoPublic hostname
jsonNoJSON text to validate; discarded after the check
pathNoFile path to check; no disk access
zoneNoIANA timezone name
queryNoSearch text; discarded after the length check

Schema Changelog

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

  1. First observed

TDQS

C2.7/5.0
Behavior1/5

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

With no annotations at all, the description carries the full burden of behavioral disclosure, but it only says 'Current UTC timestamp.' It fails to explain that the tool accepts nine optional parameters (url, city, feed, etc.) and that each is described in the schema as being discarded after validation, so the actual behavior with those inputs is opaque. This is a serious gap for a tool with 9 parameters.

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 a three-word phrase with no filler, front-loading the core purpose immediately. While the brevity contributes to incompleteness elsewhere, the conciseness dimension itself is strong: every word is purposeful and the structure is clean.

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

Completeness1/5

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

For a tool with 9 optional parameters, no output schema, and no annotations, a three-word description is far from complete. It does not explain the return type, the parameter semantics beyond the schema, or how the tool should be called, leaving an agent without enough context to use it confidently.

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 each parameter has an explicit description like 'discarded after the shape check' or 'no disk access'. The tool description itself adds no parameter meaning, but the the input schema already carries the heavy lifting, so the baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Current UTC timestamp' clearly states the tool's core purpose, and the name itself reinforces it, distinguishing it from siblings like timezone and iana-zones. It lacks an explicit verb like 'returns' and doesn't specify the timestamp format, which leaves slight ambiguity about whether the result is a Unix epoch or an ISO string.

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?

The description gives no guidance on when to use this tool instead of alternatives, nor does it mention the nine optional parameters or the fact they are not required. It simply states the output, leaving the agent to infer any context for when this should be selected.

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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