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save_memory

Save a new memory to the active ContextDrop project. If existing memories with the same title are returned, compare the new information with them. If it is the same information, do not create a duplicate. If it adds new information, it may be saved as a new memory. If it changes or conflicts with an existing project decision, explain the change to the user and ask for confirmation before updating the existing memory. After confirmation, use update_memory with the existing memory ID.

Input Schema

NameRequiredDescriptionDefault
titleYes
contentYes
categoryNo
confirm_existingNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose key traits: deduplication behavior on title match, a user-confirmation requirement before overwriting, and handoff to update_memory. It leaves unstated what happens when no active project exists, whether the save is reversible, or how failures surface, so it stops short of full disclosure for a mutation 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?

Purpose is front-loaded in the first sentence and each subsequent sentence adds a distinct decision rule. There is mild redundancy ("do not create a duplicate" restates the identical-information case), but nothing is padding.

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?

The workflow for a 4-parameter mutation tool is well covered, but with zero schema descriptions and no output schema, the description should explain the parameters it never mentions, particularly confirm_existing. Adequate for the decision logic, incomplete for invocation.

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 description coverage is 0% across 4 parameters, so the description must compensate and largely does not. It hints that 'title' is the dedup key, but 'content', 'category', and especially 'confirm_existing' (a boolean defaulting to false that plausibly gates the confirmation flow described) are never explained.

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

Purpose5/5

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

States a specific verb and resource ("Save a new memory") plus the scope ("active ContextDrop project"), and explicitly names update_memory as the sibling used for the modify path. An agent can distinguish this from update_memory without opening either schema.

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

Usage Guidelines5/5

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

Gives explicit branching rules: skip if identical, create new if additive, ask the user and switch to update_memory if it conflicts with an existing decision. When-to-use, when-not-to-use, and the alternative are all stated rather than implied.

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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