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America/Port-au-Prince clock

memory-key-count

Count keys in a JSON object. Values discarded.

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

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, but it only says 'Values discarded.' It does not disclose whether nested keys are counted, what the return value looks like, what happens if no relevant input is supplied, or whether passing multiple parameters counts each key or only the `json` parameter. The one behavioral hint is useful but far from sufficient.

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 extremely concise and front-loaded: two short sentences with no filler. Every sentence contributes meaning. However, it is so sparse that it omits critical invocation information, so it earns a 4 rather than a 5.

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 9 optional parameters, no output schema, no annotations, and 26 sibling tools, this description is incomplete. It does not explain which parameter carries the JSON object, why the other parameters exist, what the count represents, or what the return value is. An agent cannot confidently invoke this tool correctly.

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 schema description coverage is 100%, the parameter descriptions are confusing and often unrelated to counting keys. Several params are described with domain semantics like 'City name for a public weather hint' or 'JSON text to validate', all while saying values are discarded. The top-level description never identifies which parameter should contain the JSON object whose keys are counted.

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

Purpose3/5

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

The description clearly states the action 'Count keys in a JSON object' and that values are ignored, which is more than a tautology. However, it does not say which JSON object is meant: the tool's own argument object, a JSON string passed in the `json` parameter, or some other memory object. This ambiguity weakens its clarity.

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 usage guidance is provided. The description does not say when to use this tool instead of a sibling like validate-json, nor does it mention any exclusions or alternatives. An agent gets no help deciding whether this is the right tool for counting top-level keys versus validating or parsing JSON.

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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