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Glama

File Publish

file_publish

Publish a shared file: generate the public share token + slug and URL.

Idempotent: returns the existing token/slug if already published. The latest rendered HTML is eagerly pushed to the Railway bucket. The public URL is /s/{slug} (human-readable, from the title) with /s/{share_token} as a fallback; both are returned in the response.

Agent seats (org tsk_ / agent_run) are refused — call request_gated_approval(gate="publish") instead. Console humans (ts_session) still publish.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_idYesFile UUID to publish

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

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries full behavioral disclosure. It reveals idempotency (returns existing token/slug), the eager push of latest rendered HTML to the Railway bucket, the dual URL scheme with slug and token, and the seat-based access restriction. These are meaningful behavioral traits beyond the schema.

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 information-dense without fluff; every sentence contributes either purpose, idempotency, output URL structure, or access guidance. The main action is front-loaded, and supporting details are grouped logically. It is longer than a two-sentence description but earns each sentence.

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

Completeness5/5

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

For a single-parameter tool with an output schema and no annotations, the description covers everything needed to invoke it correctly: what it does, return behavior, URL formats, idempotency, and authorization restrictions. An agent can confidently decide whether to call this tool or request approval.

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 coverage is 100% and the only parameter, file_id, is already described as 'File UUID to publish.' The description adds surrounding context about URL generation and idempotency but does not add new file_id-specific semantics. Baseline 3 is appropriate because the schema fully documents the parameter.

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 opens with a specific verb and resource: 'Publish a shared file: generate the public share token + slug and URL.' It clearly differentiates file_publish from siblings like file_unpublish and file_update. The scope is unambiguous and an agent can tell exactly what operation this invokes.

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

Usage Guidelines5/5

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

The description gives explicit routing guidance: agent seats are refused and should call request_gated_approval(gate="publish") instead, while console humans may still publish directly. It also notes idempotency, so agents know re-calling is safe. This goes beyond a simple 'use for publishing' statement.

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.