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idapixl

Algora MCP Server

list_bounties

List open bounties on Algora with filters for organization, status, amount, or tech stack. Get paginated results with reward amounts and issue URLs.

Instructions

List open bounties on Algora. Optionally filter by organization slug, status, minimum/maximum amount in USD, or tech stack. Returns paginated results with reward amounts and issue URLs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
orgNoOrganization slug on Algora (e.g., 'cal', 'supabase', 'projectdiscovery'). Omit to browse all orgs.
statusNoBounty status. 'open'/'active' = claimable now. Default: 'open'.
limitNoMax results (1–100). Default: 20.
cursorNoPagination cursor from previous response's next_cursor.
min_amountNoMinimum bounty amount in USD (e.g., 200 for $200+).
max_amountNoMaximum bounty amount in USD.
techNoFilter by tech/language (e.g., 'typescript', 'python', 'rust').
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that results are paginated and include reward amounts and issue URLs, but it does not mention authentication requirements, rate limits, or any other constraints. The description is adequate for a read-only list endpoint.

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 two sentences, each serving a clear purpose: first states the action and platform, second details optional filters and output. No redundant or irrelevant information.

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?

Given the lack of an output schema, the description compensates by stating return fields (reward amounts, issue URLs) and pagination. It does not explain pagination cursor usage in detail, but the schema covers that. Overall, it provides sufficient context for a simple listing tool.

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 100%, so the schema already documents all 7 parameters thoroughly. The description merely summarizes the filter options without adding significant new meaning beyond the schema. Baseline score of 3 is appropriate.

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 states the tool lists open bounties on Algora, specifies filtering options, and mentions pagination and return fields. It distinguishes itself from siblings by offering a broad listing with optional filters, not just per-org.

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?

The description implies usage by listing available filters but does not explicitly contrast with siblings or state when not to use. There is no direct guidance on choosing between list_bounties and similar tools like get_org_bounties.

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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