Skip to main content
Glama

Search the archive

search_posts
Read-only

Search goodbotbad.bot for transcripts people have already ruled on. Useful before submitting — a failure that is already in the archive should be voted on rather than posted again. Returns ids, titles, verdicts and vote counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sideNo
limitNo
modelNoA model slug, such as claude-opus-5.
queryNoWords from the title or the submitter's note.
categoryNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYesMatching posts, most relevant first, capped at 25.

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already cover read-only, non-destructive behavior, and the description adds meaningful behavioral scope: it searches only posted/ruled transcripts and returns ids, titles, verdicts, and vote counts rather than full transcripts. This goes slightly beyond the structured annotations without contradicting them.

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?

Three sentences, each earning its place: what is searched, when to use it, and what is returned. No filler or repetition of the schema.

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

Completeness4/5

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

For a read-only search with an output schema and mostly self-explanatory optional filters, the description is nearly complete: it names the source, the use case, and the returned fields. The main gap is parameter semantics, which the schema partially covers.

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 only 40%, and the description does not compensate. It never explains how side, limit, or category should be used, even though the verdict vocabulary in the description maps loosely to 'side'.

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 ('Search goodbotbad.bot for transcripts people have already ruled on') and clarifies the scope: only archived, already-ruled transcripts. The 'before submitting' note and the returned summary fields differentiate it from submit_transcript and get_post.

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?

It gives clear usage context ('Useful before submitting — a failure that is already in the archive should be voted on rather than posted again'). It does not explicitly name sibling tools or state when not to use it, but the context is unambiguous.

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.

TDQS

A4.4/5.0
Disambiguation4/5

The tools are mostly distinct: search_posts and get_post are clearly read-only, submit_transcript is the main submission path, and complete_pair handles the paired-transcript workflow. The only mild overlap is between complete_pair and submit_transcript since both stage unpublished content, but their trigger conditions are explicit enough to avoid serious misselection.

Naming Consistency5/5

Every tool follows a clear verb_noun snake_case pattern: complete_pair, get_post, search_posts, submit_transcript. The naming is predictable and consistent, with no mixing of conventions or vague verbs.

Tool Count5/5

Four tools is well-scoped for this narrow domain: search and fetch for reading, submit for the primary write path, and complete_pair for the site's pairing mechanic. Each tool has a real purpose and the count does not feel bloated or thin.

Completeness4/5

Core workflows are covered: searching existing posts, fetching details, submitting transcripts, and completing pairs. The main gap is that once a draft or pair candidate is staged, there is no way for the agent to check its status or whether it has been approved, though this may be intentional since humans handle confirmation.

Resources