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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

C2.8/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden. It discloses that values are discarded, but does not say whether the operation is read-only, what it returns, whether invalid JSON causes an error, or whether nested keys are included. For a no-annotation tool this is insufficient.

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?

Two short sentences with no filler; the core action is front-loaded and every word contributes. It earns a high score for structure even though it is short.

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?

With no output schema, no annotations, nine optional parameters, and no explicit input binding, the description is too sparse to reliably guide invocation. It lacks return-value shape, valid-input explanation, and how to distinguish top-level vs. nested keys, so an agent cannot confidently select and call it.

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?

All nine parameters have schema descriptions, so the baseline is moderate, but the description adds no mapping to those parameters. The `json` parameter is described as 'JSON text to validate; discarded after the check,' which conflicts with the count-keys purpose and could steer an agent toward validation instead. 'Values discarded' is the only helpful hint, and it does not clarify which keys count.

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?

States a specific action ('Count') and target ('keys in a JSON object'), plus a behavioral qualifier ('Values discarded') that separates it from validate-json and shape-check siblings. The only weakness is that it never says how the JSON object is supplied, leaving some invocation ambiguity.

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 on when to prefer this tool or when not to use it; no alternatives are named. The description simply defines the operation, so an agent must infer use from the generic phrase 'Count keys…' rather than from explicit routing information.

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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