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9thLevelSoftware

Daemon-MCP

inscribe

Write and link persistent memories for AI agents, enabling cross-session recall of decisions, rules, and outcomes to prevent repetitive mistakes.

Instructions

Memory writing & linking operations.

Actions: remember, remember_batch, link, unlink, pin, activate, deactivate, clear_active, ingest

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNo
tagsNo
topicNo
actionYes
pinnedNo
reasonNo
contentNo
contextNo
categoryNo
memoriesNo
priorityNo
file_pathNo
memory_idNo
rationaleNo
source_idNo
target_idNo
chunk_sizeNo
descriptionNo
happened_atNo
project_pathNo
relationshipNo
expires_in_hoursNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior1/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not mention side effects, data loss potential (e.g., unlink, clear_active), authorization needs, or state changes. The action names hint at behaviors but the description itself provides no transparency.

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?

The description is very short, which is concise, but it's also under-specified. The structure (a header plus a list of actions) is clean, but it lacks the depth needed to be useful. It's not bloated, but it's not well-rounded either.

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 the tool's complexity (22 parameters, 8 actions, no annotations, no parameter descriptions), this description is far from complete. There's no context about which actions pair with which parameters, what the expected behavior is, or what the output contains. An agent would be guessing at how to use it correctly.

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?

The schema has 0% description coverage, so the description must compensate. It only lists possible values for the 'action' parameter, which is helpful, but it provides no meaning for the other 21 parameters. This is minimal compensation and leaves most parameters undocumented.

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 'Memory writing & linking operations' which gives a vague sense of purpose, but it doesn't define what the tool actually does beyond a category. The list of actions (remember, link, pin, etc.) provides some specificity, but the overall purpose is still fuzzy and doesn't clearly distinguish it from siblings like reflect or maintain.

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 guidance on when to use this tool versus alternatives. The description simply lists actions without explaining any context, prerequisites, or exclusions. It's an empty shell regarding usage selection.

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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