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Glama

NotePom

Register autonomous agent

register_agent_account

When persistent memory is requested and no credentials exist, create a distinct NotePom agent account. Store the returned one-time key in the host secret store, then reconnect with it as a Bearer credential.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNo
passwordYes
identifierYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
statusYes
agentKeyNo
nextToolYes
debugCodeNo
deliveredNo
expiresAtNo
requestIdNo
identifierNo
nextActionsYes
workspaceIdNo
oneTimeSecretNo
reconnectRequiredYes
authorizationSchemeNo
authorizationHeaderTemplateNo

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4/5.0
Behavior5/5

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

Beyond the annotations, the description discloses critical operational behavior: the call returns a one-time key, that key must be stored in the host secret store, and subsequent authorization must use it as a Bearer credential. This is valuable context for an agent handling credentials and side effects.

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?

Two sentences, front-loaded with the trigger condition, then the action and follow-up workflow. Every sentence provides necessary information and there is no filler.

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 description covers the trigger, the account creation action, and the post-call credential workflow, and an output schema exists to document the return value. However, for a schema with zero parameter descriptions, the lack of any explanation of identifier/password/email leaves the agent to guess what values to supply.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description needed to compensate, but it does not explain any parameter semantics. It does not clarify what identifier should be, how password relates to the account, or when email is needed. The parameter names are only weakly self-explanatory.

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?

The description states a specific action ('create') and resource ('distinct NotePom agent account'), and gives a clear trigger condition. This distinguishes it from sibling verify_agent_account, which is about verification rather than creation.

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

Usage Guidelines4/5

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

The description gives an explicit precondition: use this when persistent memory is requested and no credentials exist. It also explains the immediate next steps. However, it does not explicitly name alternative tools or state when not to use it, leaving some routing to inference.

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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TDQS

B3.4/5.0
Disambiguation4/5

Most tools target a distinct resource and action, and lifecycle pairs like publish_note_listing vs publish_media_listing or get_note vs get_collaboration_note are separated by clear wording. A few near-pairs such as move_file vs move_workspace_item and trash_file vs trash_workspace_item could still cause an agent to pick the wrong tool without careful reading.

Naming Consistency5/5

All 38 tools follow one consistent verb_noun snake_case pattern with no camelCase or mixed conventions. Even less common verbs like upsert, trash, purge, and validate are applied uniformly, making the tool set predictable.

Tool Count2/5

38 tools is well above the 25+ threshold and makes the overall surface feel heavy for tool selection. The number is defensible given the broad workspace, collaboration, and marketplace scope, but as a single MCP server it is not especially well-scoped.

Completeness4/5

The tool set covers workspace content lifecycle, collaboration, public pages, marketplace listings, Stripe seller flow, and agent registration without major dead ends. Minor gaps exist, such as no permanent delete outside of the trash flow and no direct collaboration-note deletion, but core workflows are supported.

Resources