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Delete Studocu Agent Memory

delete-memory
DestructiveIdempotent

Delete one saved memory for this learner, chosen by project_id and kind.

Input Schema

NameRequiredDescriptionDefault
kindYesKind of the memory to delete. Example: "study_preference" or "project_learning_context".
project_idNoUUID of the project memory to delete, or null. Example: 11111111-1111-4111-8111-111111111111. Omit or null to delete a learner-wide memory.

Output Schema

NameRequiredDescriptionDefault
kindYesMemory kind that was deleted.
userIdYesOwner of the deleted memory document.
deletedYesAlways true when the delete succeeds.
projectIdYesOwning project UUID, or null for global memory.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changed
    • changedInput schema / properties / kind / description
      Previous value: -"Memory kind to delete, e.g. study_preference or project_learning_context."New value: +"Kind of the memory to delete. Example: \"study_preference\" or \"project_learning_context\"."
    • changedInput schema / properties / project_id / description
      Previous value: -"Project UUID for project-local memory; null or omitted deletes global (user-level) memory."New value: +"UUID of the project memory to delete, or null. Example: 11111111-1111-4111-8111-111111111111. Omit or null to delete a learner-wide memory."
  2. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, idempotentHint=true, and readOnlyHint=false, so the safety profile is covered. The description adds that exactly one memory is deleted and that it is learner-scoped, but it does not explain irreversibility, behavior when the memory does not exist, or other consequences beyond what the annotations provide.

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

Conciseness5/5

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

The description is a single front-loaded sentence with no wasted words. It states the operation and selection criteria immediately.

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

Completeness4/5

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

For a simple two-parameter deletion tool with full schema coverage, rich annotations, and an output schema, the description is nearly sufficient. It could be slightly more complete by stating whether deletion is permanent or by naming the complementary memory tools, but no critical calling information is missing.

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 schema already explains that project_id may be null to delete a learner-wide memory. The description references both parameters but adds no format, default, or selection detail beyond the schema, so the baseline of 3 applies.

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?

The description states a specific verb and resource: delete one saved memory, scoped to this learner, and identifies that the memory is selected by project_id and kind. It is clear apart from siblings like read-memory and write-memory by its name and operation, though it does not explicitly contrast itself with them in the text.

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?

The phrase 'chosen by project_id and kind' explains selection, but there is no explicit guidance on when to use this tool versus read-memory or write-memory, nor are prerequisites or exclusions stated. The agent must infer usage from the name and schema alone.

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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