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geoffbelknap

LimaCharlie MCP

by geoffbelknap

lc_get_object_information

Retrieve detailed information about a specific security object using enrichment-oriented naming and optional filters such as case sensitivity, wildcards, and result limits.

Instructions

Lookup one object through Insight with enrichment-oriented naming.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
oidYes
infoNosummary
limitNo
obj_nameYes
obj_typeYes
wildcardsNo
case_sensitiveNo
Behavior1/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure, but it does not mention side effects, auth needs, rate limits, or what 'enrichment' means. It is insufficient for an agent to understand the tool's behavior.

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

Conciseness2/5

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

The description is a single sentence, which is concise, but it is vague and does not front-load critical information. The word 'enrichment-oriented' adds confusion rather than clarity.

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?

Given 7 parameters with no descriptions, no output schema, and no annotations, the description is severely incomplete. An agent cannot rely on this definition to use the tool correctly.

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

Parameters1/5

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

Schema description coverage is 0%, and the description adds no information about the parameters (oid, obj_type, obj_name, info, limit, wildcards, case_sensitive). The agent cannot understand how to use these parameters from the description alone.

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 'Lookup one object through Insight with enrichment-oriented naming', which gives a general verb+resource but the phrase 'enrichment-oriented naming' is ambiguous and does not clearly explain what the tool returns or how it differs from other get tools.

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 use this tool versus alternatives like lc_get_detection or lc_get_sensor. The description does not specify any context, prerequisites, or exclusions.

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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