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Glama

memory_consolidate

Consolidate provider memory for a bank or dataset by applying Cognee cognify, Hindsight LiteLLM route notes, and mem0 skip rules.

Instructions

Provider maintenance: Cognee cognify for a bank/dataset; Hindsight notes LiteLLM route; mem0 skips.

Input Schema

NameRequiredDescriptionDefault
bankNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.6.3

TDQS

D1.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, and it discloses almost nothing: no statement of whether consolidation mutates or deletes stored memories, whether it is reversible, how long it runs, or what it costs. The one genuine behavioral signal is that mem0 is skipped, which is useful but far short of adequate for a maintenance operation on a memory store.

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?

It is a single compact sentence with no padding, and the 'Provider maintenance:' prefix is correctly front-loaded. However, the compression is achieved by dropping connectives and articles, producing telegraphic fragments whose ambiguity is not offset by brevity.

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 zero annotations, an undocumented sole parameter, and no output schema, the description should explain effects and return behavior. Instead it offers three provider-specific fragments, leaving an agent unable to predict what happens after the call.

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?

Schema coverage is 0% for the single 'bank' parameter, and the description only obliquely alludes to it via 'for a bank/dataset'. It never says whether bank is required, what an omitted bank means (all banks?), or what a valid identifier looks like, so it fails to compensate for the coverage gap.

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

Purpose2/5

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

The leading phrase 'Provider maintenance' gestures at an administrative operation, but the rest is provider-specific jargon ('Cognee cognify', 'Hindsight notes LiteLLM route') that never states in plain terms what the tool actually does. 'Consolidate' plus the fragmented provider clauses does not let an agent distinguish this from memory_reflect or memory_provider_status with confidence.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to invoke this versus any of the nine siblings, no preconditions, and no exclusions. The 'mem0 skips' fragment implies a provider-specific no-op but never frames it as an invocation rule, so an agent has no basis for routing decisions.

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