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Comment on bounty

add_bounty_comment
Destructive

Use this when the person explicitly wants to publish a bounded public comment on one bounty. Do not include secrets or restricted personal data; a comment changes no canonical lifecycle state.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYes
authorNo
bounty_idYes
comment_idNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
sandboxNo
commentsYes
bounty_idNo
publishedNo
share_afterNo
comment_countYes
opportunity_idNo
schema_versionNo
evidence_boundaryYes

Schema Changelog

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

  1. First observed

TDQS

A3.7/5.0
Behavior3/5

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

The description adds useful context beyond the annotations: comments are public, should not contain sensitive data, and do not change canonical lifecycle state. However, it does not reconcile this with destructiveHint=true or explain the mutating nature implied by readOnlyHint=false. No outright contradiction exists because it only denies canonical lifecycle changes, not all state changes.

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 definition is two front-loaded sentences with no filler. The when-to-use trigger comes first, followed by a privacy warning and a behavioral note; every sentence earns its place.

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

Completeness2/5

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

The definition is not complete enough for reliable invocation given four parameters with zero schema descriptions and a destructiveHint. It covers the core intent and required fields, but leaves optional parameters and side-effect expectations unclear; the presence of an output schema only helps with return values, not input semantics.

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?

With 0% schema description coverage, the description needed to compensate, but it only loosely maps to bounty_id and body via 'one bounty' and 'public comment.' The optional author and comment_id parameters—their purpose, nullability, and UUID behavior—are completely unexplained.

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 clearly identifies the action: publishing a bounded public comment on exactly one bounty. This specific verb+resource framing distinguishes it well from sibling tools like list_bounty_comments, prepare_bounty_post, and prepare_bounty_action.

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 explicitly states when to use the tool: when the person explicitly wants to publish a public comment on a bounty. It also adds a privacy constraint about secrets and restricted personal data, but it does not name alternative tools or give when-not-to-use conditions.

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

A3.9/5.0
Disambiguation3/5

Most tools are distinct by domain (comments, feeds, on-ramp, competitions), but prepare_bounty_action and prepare_bounty_post both trigger on an approved posting flow, and list_autonomous_bounties vs get_bounty_feed vs inspect_open_competition_v2 present overlapping read surfaces. The long 'use this when' guards help, but an agent could still select the wrong prepare or list tool.

Naming Consistency4/5

The names are almost uniformly snake_case verb_noun with predictable prefixes like prepare_, get_, and list_. Minor inconsistencies: add_bounty_comment vs list_bounty_comments (singular/plural), the v2 suffix, and compile_objective_with_cloud_agent breaks the concise verb_noun pattern.

Tool Count4/5

Thirteen tools is within the normal range for a platform covering bounty lifecycle, comments, feeds, competitions, and fiat on-ramp. However, the generic prepare_bounty_action plus separate prepare_bounty_post and several read/list variants make the set feel slightly heavier than the core domain needs.

Completeness4/5

The core bounty lifecycle (post, fund, solve/claim, complete, verify), status checks, listing, comments, and sharing are all represented. Missing explicit update/cancel or single-bounty detail operations are minor gaps because the prepare/status model and feed data cover most agent workflows.

Resources