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Glama

memory_reflexion

Analyze the knowledge graph to find structural gaps: isolated entities, underconnected hubs, type silos, missing decisions or lessons, and density anomalies.

Instructions

[alias of cuba_reflexion] Analyze the knowledge graph for structural gaps. Read-only.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
actionYesanalyze: the only action. Reports isolated entities, underconnected hubs, type silos, observation gaps (missing decisions/lessons), and statistical density anomalies.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.25.0

TDQS

B3.2/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It does disclose the most important behavioral trait — 'Read-only' — which tells the agent no graph state is mutated. However it says nothing about cost, authentication, or how results are returned, leaving meaningful gaps for a no-annotation tool.

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?

Two short, front-loaded sentences with the alias routing first and the safety claim last. Nothing is redundant, though 'Read-only.' is a fragment that could have been folded into the purpose sentence.

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

Completeness3/5

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

For a one-parameter, no-output-schema analysis tool this is adequate: the schema enumerates the reported anomaly categories, so return content is covered. What is missing is usage context — when an agent should run this versus the many sibling analysis tools — which matters given the dense sibling set.

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 the single enum parameter is documented in detail, including exactly which gap categories are reported. The description adds no parameter information beyond that, so the baseline of 3 is appropriate.

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 verb ('Analyze') and resource ('knowledge graph'), narrowed by 'structural gaps'. The alias note '[alias of cuba_reflexion]' usefully disambiguates it from the large family of cuba_/memory_ sibling pairs, though it does not differentiate it from analysis-adjacent siblings like memory_contradiccion or memory_calibrar.

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?

There is no when-to-use guidance, no statement of prerequisites, and no routing to alternatives. The only usage constraint ('analyze: the only action') comes from the schema enum, not the description, so the description itself provides essentially nothing about when this tool is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.