Drive Get
drive_getDeprecated alias for storage_get.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | Yes | Storage object UUID |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
drive_getDeprecated alias for storage_get.
| Name | Required | Description | Default |
|---|---|---|---|
| file_id | Yes | Storage object UUID |
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Input schema / properties / file_id / descriptionPrevious value: -"Drive object UUID"New value: +"Storage object UUID"Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full burden of behavioral disclosure. It states only that the tool is a deprecated alias; it says nothing about read-only behavior, side effects, permissions, or error behavior. The deprecation status is useful, but actual invocation behavior is left unspecified.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
One short sentence conveys deprecation status and the canonical alternative with zero wasted words. The key information is front-loaded and immediately actionable.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is low-complexity: one documented parameter and an output schema exist. The deprecation message is the critical extra context and is present, telling the agent to route to storage_get. The only minor gap is that the description does not explain storage_get's semantics, but that definition is available among siblings.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema already documents the single parameter file_id with the description 'Storage object UUID', so schema coverage is complete. The tool description adds no additional parameter-level meaning. This matches the baseline for full schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as a deprecated alias for storage_get, which tells an agent what this tool effectively is without simply restating its name. It also distinguishes it from the sibling tool set by pointing to the canonical replacement. It does not independently describe the underlying get operation, but the alias reference is sufficient.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explicitly marks the tool as deprecated and names storage_get as the replacement. This gives the agent direct guidance to prefer storage_get and avoid using this alias except for legacy compatibility.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
With 104 tools across many domains (memory, work, projects, files, agents, context, strategic, ontology), the use of clear prefixes (memory_, work_, project_, file_, agent_run_, context_) makes most tools distinct. However, there are some potential confusions between memory_session_* vs memory_state_*, and memory_recall vs memory_think vs memory_assemble_context, though descriptions clarify their specific purposes. Aliases like memory_playbook_get for memory_procedure_get are explicit and reduce ambiguity.
Tool names follow a highly consistent pattern: prefix_domain_action (e.g., file_create, work_update, memory_recall, agent_run_start). All use snake_case, with verbs consistently placed after the domain prefix. Even less common tools like account_brief and attention_snapshot fit the overall naming scheme, making the set predictable and easy to navigate.
At 104 tools, this is an exceptionally large surface area, far exceeding the 25+ threshold that feels heavy. However, the server covers an extensive domain (organizational memory, work management, project tracking, file sharing, agent orchestration, and strategic planning), which justifies a large count. Still, the sheer number may overwhelm agents, and some tools could be consolidated (e.g., many memory_session_* and memory_state_* variants).
The tool surface is remarkably complete for its stated purpose, covering CRUD operations for files, work items, projects, and memory, plus lifecycle management for agents, sessions, and strategic plans. Minor gaps exist (e.g., no direct memory_item_get by ID, no section removal in projects), but agents can work around these using existing tools like memory_recall or work_create with parent_id. Overall, the set minimizes dead ends.