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Glama

Work List

work_list

List org work items (shared task queue for humans and agents).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mineNoOnly items assigned to the caller (human or agent)
sortNoSort keyupdated_at
limitNo
offsetNoPagination offset
assigneeNoFilter by agent name or user email
sort_dirNoasc or descdesc
work_statusNoFilter by workflow status
initiative_idNoFilter to tasks linked to a strategic initiative UUID
exclude_closedNoOmit done/cancelled items (default true)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior2/5

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, but it only adds scope context ('shared task queue for humans and agents'). It does not disclose that the list omits done/cancelled items by default (exclude_closed=true), the default sorting/pagination behavior, or that this is a safe read-only operation.

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?

A single nine-word sentence that leads with the verb and resource and appends a scoping parenthetical. Every word earns its place, with no filler or repetition of schema details.

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 rich input schema (89% coverage, defaults, enums) and presence of an output schema cover parameter semantics and return values. The description is adequate for a straightforward list operation but leaves gaps in usage guidance and behavioral disclosure that an agent navigating 70+ siblings would benefit from.

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 89% (all params except limit have descriptions), so the schema does the heavy lifting and the baseline is 3. The description adds little parameter-level meaning, though 'shared task queue for humans and agents' hints at the org-wide scope behind the 'mine' and 'assignee' filters. It does not compensate for the undocumented 'limit' param, but min/max constraints make it 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 verb and resource: 'List org work items', and the parenthetical 'shared task queue for humans and agents' clarifies the org-wide scope. This distinguishes it from task-specific siblings like work_subtasks_list, work_comment_list, and work_followers_list, and from agent_run_list, so an agent can select it without opening the schema.

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

Usage Guidelines3/5

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

Usage is implied: an agent would call this when it needs to enumerate org work items. However, there is no explicit when-to-use/when-not-to-use guidance or named alternatives, despite many list-capable siblings (work_get for single items, work_subtasks_list for nested tasks, agent_run_list for agent runs).

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

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.

Naming Consistency5/5

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.

Tool Count3/5

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).

Completeness4/5

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.