Skip to main content
Glama

submitby.ai

get_submission

Read-only

Read private status, listing completeness, suggested faq_questions, the private agent-readiness report, and exact next actions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
control_tokenNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.8/5.0
Behavior3/5

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

The readOnlyHint=true annotation already covers the safety profile, so the description's main added value is that the data is 'private' and includes an 'agent-readiness report' and 'exact next actions' — useful context about scope. However, it does not disclose that a control_token is required for accessing private data, nor anything about authorization failure behavior. It adds some context but leaves the access-control story untold.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One sentence, front-loaded with the verb 'Read', with no filler. It is somewhat list-heavy, but every item names a distinct retrievable artifact and nothing is wasted.

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?

For a read-only tool with no output schema, listing the returned artifacts is genuinely helpful so an agent knows what to expect. But the control_token authorization mechanism is undocumented and there is no guidance on how this relates to sibling submission tools, leaving the definition only partially complete.

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?

Schema description coverage is 0% and there are 2 parameters, so the description carries the full burden — but it explains neither 'id' nor 'control_token'. The single word 'private' is the only gesture toward the token parameter, and its format/role (a 64-hex control token gating private access) is left entirely undocumented. This is a significant gap for a zero-coverage schema.

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 enumerates what is retrieved (private status, listing completeness, faq_questions, agent-readiness report, next actions), which conveys purpose through outputs rather than a clear verb+resource statement. It never names the resource it reads ('submission') and gives no differentiation from siblings like get_project, verify_submission, or update_submission. The intent is inferable but only vaguely scoped.

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 the sibling list tools (list_projects, list_categories) or the submission-related siblings (verify_submission, update_submission, recover_submission). The word 'private' hints that a token may be needed but no condition or prerequisite is stated. Usage must be entirely inferred from the name.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources