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JSON Lines row count, body discarded

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

C2.3/5.0
Behavior2/5

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

With no annotations, the description carries full responsibility. It does disclose that values are discarded, but it does not explain the effect of passing multiple parameters, error behavior, or whether the tool performs any side effects. This is minimal transparency for a tool with 9 unrelated parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise at one sentence, but it is under-specified rather than efficiently structured. It front-loads the core operation but omits essential selection details, making it superficially brief yet functionally incomplete.

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?

The tool has 9 parameters, no required parameters, no output schema, and no annotations. The description provides neither the input mapping nor the exact return value (e.g., integer count, nested key behavior), nor any error handling. This is severely inadequate for an agent to call the 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?

The schema descriptions cover 100% of parameters and even note discarding behavior for most, so the baseline is 3. However, the description adds no mapping from parameters to the JSON input, leaving it ambiguous which parameter is actually counted. The description fails to compensate for the high parameter count and unclear roles.

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 states a clear operation (count keys in a JSON object) and mentions discarding values. However, it does not specify which of the 9 parameters contains the JSON, nor does it distinguish itself from sibling tools like validate-json or json-lines-ok. This ambiguity makes it only mildly clear.

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 on when to use this tool versus alternatives. There is no mention of scenario, prerequisites, or when not to use it. The description is a bare statement of function, leaving the agent to guess context.

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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